diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS
new file mode 100644
index 0000000..c88bab5
--- /dev/null
+++ b/.github/CODEOWNERS
@@ -0,0 +1,5 @@
+# Each line is a file pattern followed by one or more owners.
+
+# License changes
+*license*     @bernhardbachmann
+*LICENSE*     @bernhardbachmann
diff --git a/.github/workflows/coverage.yml b/.github/workflows/coverage.yml
index 5ff3315..b6f6779 100644
--- a/.github/workflows/coverage.yml
+++ b/.github/workflows/coverage.yml
@@ -35,7 +35,6 @@ jobs:
             omc
           libraries: |
             Modelica 4.0.0
-            ExternData 2.6.1
           omc-diff: true
 
       - name: openmodelica-library-testing
diff --git a/NeuralNetwork/Example_Models/NARX/Model/NARX.mo b/Example_Models/NARX/Model/NARX.mo
similarity index 96%
rename from NeuralNetwork/Example_Models/NARX/Model/NARX.mo
rename to Example_Models/NARX/Model/NARX.mo
index 2684ed8..52c8637 100644
--- a/NeuralNetwork/Example_Models/NARX/Model/NARX.mo
+++ b/Example_Models/NARX/Model/NARX.mo
@@ -1,18 +1,19 @@
 model NARX
-  // This represents a NARX neural network with a time delay of 55 seconds. The model shows how to connect the inputs with the neural network to predict the outputs
+  // This represents a NARX neural network with a time delay of 55 seconds.
+  // The model shows how to connect the inputs with the neural network to predict the outputs
   Modelica.Blocks.Sources.TimeTable timeTable_u(table = [0.00000000, 0.04534702; 0.01000000, 0.04534702; 0.02000000, 0.04534702; 0.03000000, 0.04534702; 0.04000000, 0.04534702; 0.05000000, 0.04534702; 0.06000000, 0.04534702; 0.07000000, 0.04534702; 0.08000000, 0.04534702; 0.09000000, 0.04534702; 0.10000000, 0.04534702; 0.11000000, 0.04534702; 0.12000000, 0.04534702; 0.13000000, 0.04534702; 0.14000000, 0.04534702; 0.15000000, 0.04534702; 0.16000000, 0.04534702; 0.17000000, 0.04534702; 0.18000000, 0.04534702; 0.19000000, 0.04534702; 0.20000000, 2.91664325; 0.21000000, 2.91664325; 0.22000000, 2.91664325; 0.23000000, 2.91664325; 0.24000000, 2.91664325; 0.25000000, 2.91664325; 0.26000000, 2.91664325; 0.27000000, 2.91664325; 0.28000000, 2.91664325; 0.29000000, 2.91664325; 0.30000000, 2.91664325; 0.31000000, 2.91664325; 0.32000000, 2.91664325; 0.33000000, 2.91664325; 0.34000000, 2.91664325; 0.35000000, 2.91664325; 0.36000000, 2.91664325; 0.37000000, 2.91664325; 0.38000000, 2.91664325; 0.39000000, 2.91664325; 0.40000000, 2.91664325; 0.41000000, 2.91664325; 0.42000000, 2.91664325; 0.43000000, 2.91664325; 0.44000000, 2.91664325; 0.45000000, 2.91664325; 0.46000000, 2.91664325; 0.47000000, 2.91664325; 0.48000000, 2.91664325; 0.49000000, 2.91664325; 0.50000000, 2.91664325; 0.51000000, 2.91664325; 0.52000000, 2.91664325; 0.53000000, 2.91664325; 0.54000000, 2.91664325; 0.55000000, 2.91664325; 0.56000000, 2.91664325; 0.57000000, 2.91664325; 0.58000000, 2.91664325; 0.59000000, 2.91664325; 0.60000000, 2.91664325; 0.61000000, 2.91664325; 0.62000000, 2.91664325; 0.63000000, 2.91664325; 0.64000000, 2.91664325; 0.65000000, 2.91664325; 0.66000000, 2.91664325; 0.67000000, 2.91664325; 0.68000000, 2.91664325; 0.69000000, 2.91664325; 0.70000000, 2.91664325; 0.71000000, 2.91664325; 0.72000000, 2.91664325; 0.73000000, 2.91664325; 0.74000000, 2.91664325; 0.75000000, 2.91664325; 0.76000000, 2.91664325; 0.77000000, 2.91664325; 0.78000000, 2.91664325; 0.79000000, 2.91664325; 0.80000000, 2.91664325; 0.81000000, 2.91664325; 0.82000000, 2.91664325; 0.83000000, 2.91664325; 0.84000000, 2.91664325; 0.85000000, 2.91664325; 0.86000000, 2.91664325; 0.87000000, 2.91664325; 0.88000000, 2.91664325; 0.89000000, 2.91664325; 0.90000000, 2.91664325; 0.91000000, 2.91664325; 0.92000000, 1.30547563; 0.93000000, 1.30547563; 0.94000000, 1.30547563; 0.95000000, 1.30547563; 0.96000000, 1.30547563; 0.97000000, 1.30547563; 0.98000000, 1.30547563; 0.99000000, 1.30547563; 1.00000000, 1.30547563; 1.01000000, 1.30547563; 1.02000000, 1.30547563; 1.03000000, 1.30547563; 1.04000000, 1.30547563; 1.05000000, 1.30547563; 1.06000000, 1.30547563; 1.07000000, 1.30547563; 1.08000000, 1.30547563; 1.09000000, 1.30547563; 1.10000000, 1.30547563; 1.11000000, 1.30547563; 1.12000000, 1.30547563; 1.13000000, 1.30547563; 1.14000000, 1.30547563; 1.15000000, 1.30547563; 1.16000000, 1.30547563; 1.17000000, 1.30547563; 1.18000000, 1.30547563; 1.19000000, 1.30547563; 1.20000000, 1.30547563; 1.21000000, 1.30547563; 1.22000000, 1.30547563; 1.23000000, 1.30547563; 1.24000000, 1.30547563; 1.25000000, 1.30547563; 1.26000000, 1.30547563; 1.27000000, 1.30547563; 1.28000000, 1.30547563; 1.29000000, 1.30547563; 1.30000000, 1.30547563; 1.31000000, 1.30547563; 1.32000000, 1.30547563; 1.33000000, 1.30547563; 1.34000000, 1.30547563; 1.35000000, 1.30547563; 1.36000000, 1.30547563; 1.37000000, 1.30547563; 1.38000000, 1.30547563; 1.39000000, 1.30547563; 1.40000000, 1.30547563; 1.41000000, 1.30547563; 1.42000000, 1.30547563; 1.43000000, 1.30547563; 1.44000000, 1.30547563; 1.45000000, 1.30547563; 1.46000000, 1.30547563; 1.47000000, 1.30547563; 1.48000000, 1.30547563; 1.49000000, 1.30547563; 1.50000000, 1.30547563; 1.51000000, 1.30547563; 1.52000000, 1.30547563; 1.53000000, 1.30547563; 1.54000000, 2.97105326; 1.55000000, 2.97105326; 1.56000000, 2.97105326; 1.57000000, 2.97105326; 1.58000000, 2.97105326; 1.59000000, 2.97105326; 1.60000000, 2.97105326; 1.61000000, 2.97105326; 1.62000000, 2.97105326; 1.63000000, 2.97105326; 1.64000000, 2.97105326; 1.65000000, 2.97105326; 1.66000000, 2.97105326; 1.67000000, 2.97105326; 1.68000000, 2.97105326; 1.69000000, 2.97105326; 1.70000000, 2.01434543; 1.71000000, 2.01434543; 1.72000000, 2.01434543; 1.73000000, 2.01434543; 1.74000000, 2.01434543; 1.75000000, 2.01434543; 1.76000000, 2.01434543; 1.77000000, 2.01434543; 1.78000000, 2.01434543; 1.79000000, 2.01434543; 1.80000000, 2.01434543; 1.81000000, 2.01434543; 1.82000000, 2.01434543; 1.83000000, 2.01434543; 1.84000000, 2.01434543; 1.85000000, 1.07687430; 1.86000000, 1.07687430; 1.87000000, 1.07687430; 1.88000000, 1.07687430; 1.89000000, 1.07687430; 1.90000000, 1.07687430; 1.91000000, 1.07687430; 1.92000000, 1.07687430; 1.93000000, 1.07687430; 1.94000000, 1.07687430; 1.95000000, 1.07687430; 1.96000000, 1.07687430; 1.97000000, 1.07687430; 1.98000000, 1.07687430; 1.99000000, 1.07687430; 2.00000000, 1.07687430; 2.01000000, 1.07687430; 2.02000000, 1.07687430; 2.03000000, 1.07687430; 2.04000000, 1.07687430; 2.05000000, 1.07687430; 2.06000000, 1.07687430; 2.07000000, 1.07687430; 2.08000000, 1.07687430; 2.09000000, 1.07687430; 2.10000000, 1.07687430; 2.11000000, 1.07687430; 2.12000000, 1.07687430; 2.13000000, 1.07687430; 2.14000000, 1.07687430; 2.15000000, 1.07687430; 2.16000000, 1.07687430; 2.17000000, 1.07687430; 2.18000000, 1.07687430; 2.19000000, 1.07687430; 2.20000000, 1.07687430; 2.21000000, 1.07687430; 2.22000000, 1.07687430; 2.23000000, 3.37183586; 2.24000000, 3.37183586; 2.25000000, 3.37183586; 2.26000000, 3.37183586; 2.27000000, 3.37183586; 2.28000000, 3.37183586; 2.29000000, 3.37183586; 2.30000000, 3.37183586; 2.31000000, 3.37183586; 2.32000000, 3.37183586; 2.33000000, 3.37183586; 2.34000000, 3.37183586; 2.35000000, 2.83975195; 2.36000000, 2.83975195; 2.37000000, 2.83975195; 2.38000000, 2.83975195; 2.39000000, 2.83975195; 2.40000000, 2.83975195; 2.41000000, 2.83975195; 2.42000000, 2.83975195; 2.43000000, 2.83975195; 2.44000000, 2.83975195; 2.45000000, 2.83975195; 2.46000000, 2.83975195; 2.47000000, 2.83975195; 2.48000000, 2.83975195; 2.49000000, 2.83975195; 2.50000000, 2.83975195; 2.51000000, 2.83975195; 2.52000000, 2.83975195; 2.53000000, 2.83975195; 2.54000000, 2.83975195; 2.55000000, 2.83975195; 2.56000000, 2.83975195; 2.57000000, 2.83975195; 2.58000000, 2.83975195; 2.59000000, 2.83975195; 2.60000000, 2.83975195; 2.61000000, 2.83975195; 2.62000000, 2.83975195; 2.63000000, 2.83975195; 2.64000000, 2.83975195; 2.65000000, 2.83975195; 2.66000000, 2.83975195; 2.67000000, 2.83975195; 2.68000000, 2.83975195; 2.69000000, 2.83975195; 2.70000000, 2.83975195; 2.71000000, 2.83975195; 2.72000000, 2.83975195; 2.73000000, 2.83975195; 2.74000000, 2.83975195; 2.75000000, 2.83975195; 2.76000000, 2.83975195; 2.77000000, 2.83975195; 2.78000000, 2.83975195; 2.79000000, 2.83975195; 2.80000000, 2.83975195; 2.81000000, 2.83975195; 2.82000000, 2.83975195; 2.83000000, 2.83975195; 2.84000000, 2.83975195; 2.85000000, 2.83975195; 2.86000000, 2.83975195; 2.87000000, 2.83975195; 2.88000000, 2.83975195; 2.89000000, 2.83975195; 2.90000000, 2.83975195; 2.91000000, 2.83975195; 2.92000000, 2.83975195; 2.93000000, 2.83975195; 2.94000000, 2.83975195; 2.95000000, 2.83975195; 2.96000000, 2.83975195; 2.97000000, 2.83975195; 2.98000000, 2.83975195; 2.99000000, 2.83975195; 3.00000000, 2.83975195; 3.01000000, 2.83975195; 3.02000000, 2.83975195; 3.03000000, 2.83975195; 3.04000000, 2.83975195; 3.05000000, 2.83975195; 3.06000000, 2.83975195; 3.07000000, 2.83975195; 3.08000000, 2.83975195; 3.09000000, 2.83975195; 3.10000000, 2.83975195; 3.11000000, 2.83975195; 3.12000000, 2.83975195; 3.13000000, 2.83975195; 3.14000000, 2.83975195; 3.15000000, 2.83975195; 3.16000000, 2.83975195; 3.17000000, 2.83975195; 3.18000000, 2.83975195; 3.19000000, 2.83975195; 3.20000000, 2.83975195; 3.21000000, 2.83975195; 3.22000000, 2.83975195; 3.23000000, 2.83975195; 3.24000000, 2.83975195; 3.25000000, 2.83975195; 3.26000000, 2.83975195; 3.27000000, 2.83975195; 3.28000000, 2.83975195; 3.29000000, 2.83975195; 3.30000000, 2.83975195; 3.31000000, 2.83975195; 3.32000000, 2.83975195; 3.33000000, 3.95041296; 3.34000000, 3.95041296; 3.35000000, 3.95041296; 3.36000000, 3.95041296; 3.37000000, 3.95041296; 3.38000000, 3.95041296; 3.39000000, 3.95041296; 3.40000000, 3.95041296; 3.41000000, 3.95041296; 3.42000000, 3.95041296; 3.43000000, 3.95041296; 3.44000000, 3.95041296; 3.45000000, 3.95041296; 3.46000000, 3.95041296; 3.47000000, 3.95041296; 3.48000000, 3.95041296; 3.49000000, 3.95041296; 3.50000000, 3.95041296; 3.51000000, 3.95041296; 3.52000000, 3.95041296; 3.53000000, 3.95041296; 3.54000000, 3.95041296; 3.55000000, 3.95041296; 3.56000000, 3.95041296; 3.57000000, 3.95041296; 3.58000000, 3.95041296; 3.59000000, 3.95041296; 3.60000000, 3.95041296; 3.61000000, 3.95041296; 3.62000000, 3.95041296; 3.63000000, 3.95041296; 3.64000000, 3.95041296; 3.65000000, 3.95041296; 3.66000000, 3.95041296; 3.67000000, 3.95041296; 3.68000000, 3.95041296; 3.69000000, 3.95041296; 3.70000000, 3.95041296; 3.71000000, 3.95041296; 3.72000000, 3.95041296; 3.73000000, 3.95041296; 3.74000000, 3.95041296; 3.75000000, 3.95041296; 3.76000000, 3.95041296; 3.77000000, 3.95041296; 3.78000000, 3.95041296; 3.79000000, 3.95041296; 3.80000000, 3.95041296; 3.81000000, 3.95041296; 3.82000000, 3.95041296; 3.83000000, 3.95041296; 3.84000000, 3.95041296; 3.85000000, 3.95041296; 3.86000000, 3.95041296; 3.87000000, 3.95041296; 3.88000000, 3.95041296; 3.89000000, 3.95041296; 3.90000000, 3.95041296; 3.91000000, 3.95041296; 3.92000000, 3.95041296; 3.93000000, 3.95041296; 3.94000000, 3.95041296; 3.95000000, 3.95041296; 3.96000000, 3.95041296; 3.97000000, 3.95041296; 3.98000000, 3.95041296; 3.99000000, 3.95041296; 4.00000000, 3.95041296; 4.01000000, 3.95041296; 4.02000000, 3.95041296; 4.03000000, 3.95041296; 4.04000000, 3.95041296; 4.05000000, 3.95041296; 4.06000000, 3.95041296; 4.07000000, 3.95041296; 4.08000000, 3.95041296; 4.09000000, 3.95041296; 4.10000000, 3.95041296; 4.11000000, 3.95041296; 4.12000000, 3.95041296; 4.13000000, 3.95041296; 4.14000000, 1.19329267; 4.15000000, 1.19329267; 4.16000000, 1.19329267; 4.17000000, 1.19329267; 4.18000000, 1.19329267; 4.19000000, 1.19329267; 4.20000000, 1.19329267; 4.21000000, 1.19329267; 4.22000000, 1.19329267; 4.23000000, 1.19329267; 4.24000000, 1.19329267; 4.25000000, 1.19329267; 4.26000000, 1.19329267; 4.27000000, 1.19329267; 4.28000000, 1.19329267; 4.29000000, 1.19329267; 4.30000000, 1.19329267; 4.31000000, 1.19329267; 4.32000000, 1.19329267; 4.33000000, 1.19329267; 4.34000000, 1.19329267; 4.35000000, 1.19329267; 4.36000000, 1.19329267; 4.37000000, 1.19329267; 4.38000000, 1.19329267; 4.39000000, 1.19329267; 4.40000000, 1.19329267; 4.41000000, 1.19329267; 4.42000000, 1.19329267; 4.43000000, 1.19329267; 4.44000000, 1.19329267; 4.45000000, 1.19329267; 4.46000000, 1.19329267; 4.47000000, 1.19329267; 4.48000000, 1.19329267; 4.49000000, 1.19329267; 4.50000000, 1.19329267; 4.51000000, 1.19329267; 4.52000000, 1.19329267; 4.53000000, 1.19329267; 4.54000000, 1.19329267; 4.55000000, 1.19329267; 4.56000000, 1.19329267; 4.57000000, 1.19329267; 4.58000000, 1.19329267; 4.59000000, 1.19329267; 4.60000000, 1.19329267; 4.61000000, 1.19329267; 4.62000000, 1.19329267; 4.63000000, 1.19329267; 4.64000000, 1.19329267; 4.65000000, 1.19329267; 4.66000000, 1.19329267; 4.67000000, 1.19329267; 4.68000000, 1.19329267; 4.69000000, 0.06981666; 4.70000000, 0.06981666; 4.71000000, 0.06981666; 4.72000000, 0.06981666; 4.73000000, 0.06981666; 4.74000000, 0.06981666; 4.75000000, 0.06981666; 4.76000000, 0.06981666; 4.77000000, 0.06981666; 4.78000000, 0.06981666; 4.79000000, 0.06981666; 4.80000000, 0.06981666; 4.81000000, 0.06981666; 4.82000000, 0.06981666; 4.83000000, 0.06981666; 4.84000000, 0.06981666; 4.85000000, 0.06981666; 4.86000000, 0.06981666; 4.87000000, 0.06981666; 4.88000000, 0.06981666; 4.89000000, 0.06981666; 4.90000000, 0.06981666; 4.91000000, 0.06981666; 4.92000000, 0.06981666; 4.93000000, 0.06981666; 4.94000000, 0.06981666; 4.95000000, 0.06981666; 4.96000000, 0.06981666; 4.97000000, 0.06981666; 4.98000000, 0.06981666; 4.99000000, 0.06981666; 5.00000000, 0.06981666; 5.01000000, 0.06981666; 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5.86000000, 0.60017789; 5.87000000, 0.60017789; 5.88000000, 0.60017789; 5.89000000, 0.60017789; 5.90000000, 0.60017789; 5.91000000, 0.60017789; 5.92000000, 0.60017789; 5.93000000, 0.60017789; 5.94000000, 0.60017789; 5.95000000, 0.60017789; 5.96000000, 0.60017789; 5.97000000, 0.60017789; 5.98000000, 0.60017789; 5.99000000, 0.60017789; 6.00000000, 0.60017789; 6.01000000, 0.60017789; 6.02000000, 0.60017789; 6.03000000, 0.60017789; 6.04000000, 0.60017789; 6.05000000, 0.60017789; 6.06000000, 0.60017789; 6.07000000, 0.60017789; 6.08000000, 0.60017789; 6.09000000, 0.60017789; 6.10000000, 0.60017789; 6.11000000, 0.60017789; 6.12000000, 0.60017789; 6.13000000, 0.60017789; 6.14000000, 0.60017789; 6.15000000, 0.60017789; 6.16000000, 0.60017789; 6.17000000, 0.60017789; 6.18000000, 0.60017789; 6.19000000, 0.60017789; 6.20000000, 0.60017789; 6.21000000, 0.60017789; 6.22000000, 0.60017789; 6.23000000, 0.60017789; 6.24000000, 0.60017789; 6.25000000, 0.60017789; 6.26000000, 0.60017789; 6.27000000, 0.60017789; 6.28000000, 0.60017789; 6.29000000, 0.60017789; 6.30000000, 0.60017789; 6.31000000, 0.60017789; 6.32000000, 0.60017789; 6.33000000, 0.60017789; 6.34000000, 2.63315883; 6.35000000, 2.63315883; 6.36000000, 2.63315883; 6.37000000, 2.63315883; 6.38000000, 2.63315883; 6.39000000, 2.63315883; 6.40000000, 2.63315883; 6.41000000, 2.63315883; 6.42000000, 2.63315883; 6.43000000, 2.63315883; 6.44000000, 2.63315883; 6.45000000, 2.63315883; 6.46000000, 2.63315883; 6.47000000, 2.63315883; 6.48000000, 2.63315883; 6.49000000, 2.63315883; 6.50000000, 2.63315883; 6.51000000, 2.63315883; 6.52000000, 2.63315883; 6.53000000, 2.63315883; 6.54000000, 2.63315883; 6.55000000, 2.63315883; 6.56000000, 2.63315883; 6.57000000, 2.63315883; 6.58000000, 2.63315883; 6.59000000, 2.63315883; 6.60000000, 2.63315883; 6.61000000, 2.63315883; 6.62000000, 2.63315883; 6.63000000, 2.63315883; 6.64000000, 2.63315883; 6.65000000, 2.63315883; 6.66000000, 2.63315883; 6.67000000, 2.63315883; 6.68000000, 2.63315883; 6.69000000, 2.63315883; 6.70000000, 2.63315883; 6.71000000, 2.63315883; 6.72000000, 2.63315883; 6.73000000, 2.63315883; 6.74000000, 2.63315883; 6.75000000, 2.63315883; 6.76000000, 2.63315883; 6.77000000, 2.63315883; 6.78000000, 2.63315883; 6.79000000, 2.63315883; 6.80000000, 2.63315883; 6.81000000, 2.63315883; 6.82000000, 2.72282892; 6.83000000, 2.72282892; 6.84000000, 2.72282892; 6.85000000, 2.72282892; 6.86000000, 2.72282892; 6.87000000, 2.72282892; 6.88000000, 2.72282892; 6.89000000, 2.72282892; 6.90000000, 2.72282892; 6.91000000, 2.72282892; 6.92000000, 2.72282892; 6.93000000, 2.72282892; 6.94000000, 2.72282892; 6.95000000, 2.72282892; 6.96000000, 2.72282892; 6.97000000, 2.72282892; 6.98000000, 2.72282892; 6.99000000, 2.72282892; 7.00000000, 2.72282892; 7.01000000, 2.72282892; 7.02000000, 2.72282892; 7.03000000, 2.72282892; 7.04000000, 2.72282892; 7.05000000, 2.72282892; 7.06000000, 2.72282892; 7.07000000, 2.72282892; 7.08000000, 2.72282892; 7.09000000, 2.72282892; 7.10000000, 2.72282892; 7.11000000, 2.72282892; 7.12000000, 2.72282892; 7.13000000, 2.72282892; 7.14000000, 2.72282892; 7.15000000, 2.72282892; 7.16000000, 2.72282892; 7.17000000, 1.19962155; 7.18000000, 1.19962155; 7.19000000, 1.19962155; 7.20000000, 1.19962155; 7.21000000, 1.19962155; 7.22000000, 1.19962155; 7.23000000, 1.19962155; 7.24000000, 1.19962155; 7.25000000, 1.19962155; 7.26000000, 1.19962155; 7.27000000, 1.19962155; 7.28000000, 1.19962155; 7.29000000, 1.19962155; 7.30000000, 1.19962155; 7.31000000, 1.19962155; 7.32000000, 1.19962155; 7.33000000, 1.19962155; 7.34000000, 1.19962155; 7.35000000, 1.19962155; 7.36000000, 1.19962155; 7.37000000, 1.19962155; 7.38000000, 1.19962155; 7.39000000, 1.19962155; 7.40000000, 1.19962155; 7.41000000, 1.19962155; 7.42000000, 1.19962155; 7.43000000, 1.19962155; 7.44000000, 1.19962155; 7.45000000, 1.19962155])  annotation(
     Placement(visible = true, transformation(origin = {-86, 60}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
   Modelica.Blocks.Sources.TimeTable timeTable_y(table = [0.00000000, 1.30444486; 0.01000000, 1.28774432; 0.02000000, 1.27073875; 0.03000000, 1.25344011; 0.04000000, 1.23585990; 0.05000000, 1.21800918; 0.06000000, 1.19989856; 0.07000000, 1.18153826; 0.08000000, 1.16293806; 0.09000000, 1.14410740; 0.10000000, 1.12505532; 0.11000000, 1.10579052; 0.12000000, 1.08632136; 0.13000000, 1.06665586; 0.14000000, 1.04680175; 0.15000000, 1.02676643; 0.16000000, 1.00655703; 0.17000000, 0.98618039; 0.18000000, 0.96564310; 0.19000000, 0.94495147; 0.20000000, 0.92411158; 0.21000000, 0.90541612; 0.22000000, 0.89109677; 0.23000000, 0.88105573; 0.24000000, 0.87517843; 0.25000000, 0.87333332; 0.26000000, 0.87537230; 0.27000000, 0.88113201; 0.28000000, 0.89043549; 0.29000000, 0.90309447; 0.30000000, 0.91891189; 0.31000000, 0.93768459; 0.32000000, 0.95920603; 0.33000000, 0.98326883; 0.34000000, 1.00966712; 0.35000000, 1.03819862; 0.36000000, 1.06866630; 0.37000000, 1.10087987; 0.38000000, 1.13465680; 0.39000000, 1.16982312; 0.40000000, 1.20621395; 0.41000000, 1.24367380; 0.42000000, 1.28205668; 0.43000000, 1.32122604; 0.44000000, 1.36105467; 0.45000000, 1.40142439; 0.46000000, 1.44222573; 0.47000000, 1.48335763; 0.48000000, 1.52472694; 0.49000000, 1.56624812; 0.50000000, 1.60784270; 0.51000000, 1.64943894; 0.52000000, 1.69097138; 0.53000000, 1.73238043; 0.54000000, 1.77361198; 0.55000000, 1.81461705; 0.56000000, 1.85535138; 0.57000000, 1.89577515; 0.58000000, 1.93585260; 0.59000000, 1.97555179; 0.60000000, 2.01484426; 0.61000000, 2.05370479; 0.62000000, 2.09211116; 0.63000000, 2.13004391; 0.64000000, 2.16748611; 0.65000000, 2.20442318; 0.66000000, 2.24084270; 0.67000000, 2.27673421; 0.68000000, 2.31208908; 0.69000000, 2.34690035; 0.70000000, 2.38116259; 0.71000000, 2.41487176; 0.72000000, 2.44802509; 0.73000000, 2.48062101; 0.74000000, 2.51265898; 0.75000000, 2.54413946; 0.76000000, 2.57506375; 0.77000000, 2.60543401; 0.78000000, 2.63525306; 0.79000000, 2.66452442; 0.80000000, 2.69325218; 0.81000000, 2.72144096; 0.82000000, 2.74909587; 0.83000000, 2.77622241; 0.84000000, 2.80282649; 0.85000000, 2.82891435; 0.86000000, 2.85449249; 0.87000000, 2.87956771; 0.88000000, 2.90414699; 0.89000000, 2.92823754; 0.90000000, 2.95184670; 0.91000000, 2.97498197; 0.92000000, 2.99765093; 0.93000000, 3.01930283; 0.94000000, 3.03942176; 0.95000000, 3.05806599; 0.96000000, 3.07529167; 0.97000000, 3.09115289; 0.98000000, 3.10570176; 0.99000000, 3.11898846; 1.00000000, 3.13106136; 1.01000000, 3.14196699; 1.02000000, 3.15175022; 1.03000000, 3.16045422; 1.04000000, 3.16812058; 1.05000000, 3.17478934; 1.06000000, 3.18049908; 1.07000000, 3.18528691; 1.08000000, 3.18918860; 1.09000000, 3.19223857; 1.10000000, 3.19446997; 1.11000000, 3.19591470; 1.12000000, 3.19660351; 1.13000000, 3.19656596; 1.14000000, 3.19583055; 1.15000000, 3.19442470; 1.16000000, 3.19237481; 1.17000000, 3.18970630; 1.18000000, 3.18644365; 1.19000000, 3.18261043; 1.20000000, 3.17822931; 1.21000000, 3.17332216; 1.22000000, 3.16790999; 1.23000000, 3.16201306; 1.24000000, 3.15565087; 1.25000000, 3.14884220; 1.26000000, 3.14160513; 1.27000000, 3.13395706; 1.28000000, 3.12591475; 1.29000000, 3.11749436; 1.30000000, 3.10871143; 1.31000000, 3.09958093; 1.32000000, 3.09011729; 1.33000000, 3.08033438; 1.34000000, 3.07024559; 1.35000000, 3.05986380; 1.36000000, 3.04920143; 1.37000000, 3.03827043; 1.38000000, 3.02708231; 1.39000000, 3.01564819; 1.40000000, 3.00397874; 1.41000000, 2.99208427; 1.42000000, 2.97997472; 1.43000000, 2.96765965; 1.44000000, 2.95514827; 1.45000000, 2.94244949; 1.46000000, 2.92957187; 1.47000000, 2.91652366; 1.48000000, 2.90331284; 1.49000000, 2.88994708; 1.50000000, 2.87643379; 1.51000000, 2.86278011; 1.52000000, 2.84899293; 1.53000000, 2.83507890; 1.54000000, 2.82104444; 1.55000000, 2.80751963; 1.56000000, 2.79510549; 1.57000000, 2.78376530; 1.58000000, 2.77346327; 1.59000000, 2.76416446; 1.60000000, 2.75583477; 1.61000000, 2.74844094; 1.62000000, 2.74195049; 1.63000000, 2.73633174; 1.64000000, 2.73155373; 1.65000000, 2.72758626; 1.66000000, 2.72439987; 1.67000000, 2.72196577; 1.68000000, 2.72025589; 1.69000000, 2.71924283; 1.70000000, 2.71889986; 1.71000000, 2.71876816; 1.72000000, 2.71841246; 1.73000000, 2.71784164; 1.74000000, 2.71706428; 1.75000000, 2.71608871; 1.76000000, 2.71492294; 1.77000000, 2.71357476; 1.78000000, 2.71205168; 1.79000000, 2.71036097; 1.80000000, 2.70850966; 1.81000000, 2.70650455; 1.82000000, 2.70435221; 1.83000000, 2.70205900; 1.84000000, 2.69963107; 1.85000000, 2.69707436; 1.86000000, 2.69412947; 1.87000000, 2.69055037; 1.88000000, 2.68636220; 1.89000000, 2.68158918; 1.90000000, 2.67625462; 1.91000000, 2.67038096; 1.92000000, 2.66398980; 1.93000000, 2.65710195; 1.94000000, 2.64973744; 1.95000000, 2.64191554; 1.96000000, 2.63365483; 1.97000000, 2.62497320; 1.98000000, 2.61588785; 1.99000000, 2.60641537; 2.00000000, 2.59657173; 2.01000000, 2.58637231; 2.02000000, 2.57583193; 2.03000000, 2.56496485; 2.04000000, 2.55378482; 2.05000000, 2.54230507; 2.06000000, 2.53053837; 2.07000000, 2.51849701; 2.08000000, 2.50619283; 2.09000000, 2.49363724; 2.10000000, 2.48084125; 2.11000000, 2.46781545; 2.12000000, 2.45457007; 2.13000000, 2.44111496; 2.14000000, 2.42745962; 2.15000000, 2.41361321; 2.16000000, 2.39958456; 2.17000000, 2.38538221; 2.18000000, 2.37101436; 2.19000000, 2.35648895; 2.20000000, 2.34181365; 2.21000000, 2.32699583; 2.22000000, 2.31204263; 2.23000000, 2.29696095; 2.24000000, 2.28285629; 2.25000000, 2.27078491; 2.26000000, 2.26068004; 2.27000000, 2.25247554; 2.28000000, 2.24610586; 2.29000000, 2.24150608; 2.30000000, 2.23861189; 2.31000000, 2.23735962; 2.32000000, 2.23768629; 2.33000000, 2.23952961; 2.34000000, 2.24282808; 2.35000000, 2.24752097; 2.36000000, 2.25318598; 2.37000000, 2.25942234; 2.38000000, 2.26620281; 2.39000000, 2.27350082; 2.40000000, 2.28129048; 2.41000000, 2.28954658; 2.42000000, 2.29824458; 2.43000000, 2.30736063; 2.44000000, 2.31687153; 2.45000000, 2.32675477; 2.46000000, 2.33698852; 2.47000000, 2.34755158; 2.48000000, 2.35842344; 2.49000000, 2.36958423; 2.50000000, 2.38101472; 2.51000000, 2.39269634; 2.52000000, 2.40461113; 2.53000000, 2.41674177; 2.54000000, 2.42907154; 2.55000000, 2.44158434; 2.56000000, 2.45426465; 2.57000000, 2.46709754; 2.58000000, 2.48006865; 2.59000000, 2.49316418; 2.60000000, 2.50637089; 2.61000000, 2.51967606; 2.62000000, 2.53306750; 2.63000000, 2.54653354; 2.64000000, 2.56006301; 2.65000000, 2.57364521; 2.66000000, 2.58726993; 2.67000000, 2.60092742; 2.68000000, 2.61460837; 2.69000000, 2.62830390; 2.70000000, 2.64200558; 2.71000000, 2.65570536; 2.72000000, 2.66939560; 2.73000000, 2.68306903; 2.74000000, 2.69671878; 2.75000000, 2.71033832; 2.76000000, 2.72392147; 2.77000000, 2.73746237; 2.78000000, 2.75095552; 2.79000000, 2.76439570; 2.80000000, 2.77777800; 2.81000000, 2.79109781; 2.82000000, 2.80435079; 2.83000000, 2.81753286; 2.84000000, 2.83064021; 2.85000000, 2.84366927; 2.86000000, 2.85661672; 2.87000000, 2.86947946; 2.88000000, 2.88225461; 2.89000000, 2.89493950; 2.90000000, 2.90753165; 2.91000000, 2.92002879; 2.92000000, 2.93242883; 2.93000000, 2.94472986; 2.94000000, 2.95693012; 2.95000000, 2.96902803; 2.96000000, 2.98102215; 2.97000000, 2.99291120; 2.98000000, 3.00469403; 2.99000000, 3.01636963; 3.00000000, 3.02793711; 3.01000000, 3.03939571; 3.02000000, 3.05074477; 3.03000000, 3.06198374; 3.04000000, 3.07311220; 3.05000000, 3.08412981; 3.06000000, 3.09503630; 3.07000000, 3.10583153; 3.08000000, 3.11651541; 3.09000000, 3.12708796; 3.10000000, 3.13754924; 3.11000000, 3.14789942; 3.12000000, 3.15813869; 3.13000000, 3.16826735; 3.14000000, 3.17828572; 3.15000000, 3.18819420; 3.16000000, 3.19799324; 3.17000000, 3.20768331; 3.18000000, 3.21726498; 3.19000000, 3.22673881; 3.20000000, 3.23610542; 3.21000000, 3.24536548; 3.22000000, 3.25451968; 3.23000000, 3.26356875; 3.24000000, 3.27251343; 3.25000000, 3.28135451; 3.26000000, 3.29009281; 3.27000000, 3.29872914; 3.28000000, 3.30726437; 3.29000000, 3.31569937; 3.30000000, 3.32403502; 3.31000000, 3.33227224; 3.32000000, 3.34041193; 3.33000000, 3.34845505; 3.34000000, 3.35695768; 3.35000000, 3.36644470; 3.36000000, 3.37687110; 3.37000000, 3.38819302; 3.38000000, 3.40036779; 3.39000000, 3.41335388; 3.40000000, 3.42711092; 3.41000000, 3.44159970; 3.42000000, 3.45678212; 3.43000000, 3.47262123; 3.44000000, 3.48908118; 3.45000000, 3.50612725; 3.46000000, 3.52372579; 3.47000000, 3.54184426; 3.48000000, 3.56045115; 3.49000000, 3.57951604; 3.50000000, 3.59900953; 3.51000000, 3.61890323; 3.52000000, 3.63916977; 3.53000000, 3.65978277; 3.54000000, 3.68071681; 3.55000000, 3.70194740; 3.56000000, 3.72345101; 3.57000000, 3.74520499; 3.58000000, 3.76718761; 3.59000000, 3.78937798; 3.60000000, 3.81175606; 3.61000000, 3.83430265; 3.62000000, 3.85699934; 3.63000000, 3.87982850; 3.64000000, 3.90277327; 3.65000000, 3.92581754; 3.66000000, 3.94894589; 3.67000000, 3.97214363; 3.68000000, 3.99539671; 3.69000000, 4.01869176; 3.70000000, 4.04201604; 3.71000000, 4.06535742; 3.72000000, 4.08870437; 3.73000000, 4.11204592; 3.74000000, 4.13537166; 3.75000000, 4.15867174; 3.76000000, 4.18193678; 3.77000000, 4.20515794; 3.78000000, 4.22832683; 3.79000000, 4.25143553; 3.80000000, 4.27447659; 3.81000000, 4.29744294; 3.82000000, 4.32032795; 3.83000000, 4.34312539; 3.84000000, 4.36582941; 3.85000000, 4.38843449; 3.86000000, 4.41093551; 3.87000000, 4.43332764; 3.88000000, 4.45560640; 3.89000000, 4.47776761; 3.90000000, 4.49980739; 3.91000000, 4.52172211; 3.92000000, 4.54350847; 3.93000000, 4.56516336; 3.94000000, 4.58668397; 3.95000000, 4.60806770; 3.96000000, 4.62931218; 3.97000000, 4.65041525; 3.98000000, 4.67137495; 3.99000000, 4.69218954; 4.00000000, 4.71285743; 4.01000000, 4.73337723; 4.02000000, 4.75374771; 4.03000000, 4.77396780; 4.04000000, 4.79403659; 4.05000000, 4.81395329; 4.06000000, 4.83371728; 4.07000000, 4.85332804; 4.08000000, 4.87278518; 4.09000000, 4.89208845; 4.10000000, 4.91123767; 4.11000000, 4.93023280; 4.12000000, 4.94907387; 4.13000000, 4.96776102; 4.14000000, 4.98629447; 4.15000000, 5.00397373; 4.16000000, 5.02013860; 4.17000000, 5.03484801; 4.18000000, 5.04815861; 4.19000000, 5.06012489; 4.20000000, 5.07079924; 4.21000000, 5.08023202; 4.22000000, 5.08847165; 4.23000000, 5.09556471; 4.24000000, 5.10155596; 4.25000000, 5.10648843; 4.26000000, 5.11040351; 4.27000000, 5.11334100; 4.28000000, 5.11533913; 4.29000000, 5.11643470; 4.30000000, 5.11666307; 4.31000000, 5.11605822; 4.32000000, 5.11465285; 4.33000000, 5.11247838; 4.34000000, 5.10956504; 4.35000000, 5.10594186; 4.36000000, 5.10163678; 4.37000000, 5.09667665; 4.38000000, 5.09108729; 4.39000000, 5.08489352; 4.40000000, 5.07811921; 4.41000000, 5.07078731; 4.42000000, 5.06291987; 4.43000000, 5.05453812; 4.44000000, 5.04566243; 4.45000000, 5.03631244; 4.46000000, 5.02650698; 4.47000000, 5.01626419; 4.48000000, 5.00560150; 4.49000000, 4.99453568; 4.50000000, 4.98308283; 4.51000000, 4.97125845; 4.52000000, 4.95907745; 4.53000000, 4.94655416; 4.54000000, 4.93370234; 4.55000000, 4.92053526; 4.56000000, 4.90706565; 4.57000000, 4.89330576; 4.58000000, 4.87926737; 4.59000000, 4.86496182; 4.60000000, 4.85040000; 4.61000000, 4.83559239; 4.62000000, 4.82054907; 4.63000000, 4.80527973; 4.64000000, 4.78979369; 4.65000000, 4.77409993; 4.66000000, 4.75820706; 4.67000000, 4.74212337; 4.68000000, 4.72585686; 4.69000000, 4.70941519; 4.70000000, 4.69273132; 4.71000000, 4.67574149; 4.72000000, 4.65845769; 4.73000000, 4.64089146; 4.74000000, 4.62305386; 4.75000000, 4.60495554; 4.76000000, 4.58660673; 4.77000000, 4.56801724; 4.78000000, 4.54919653; 4.79000000, 4.53015365; 4.80000000, 4.51089732; 4.81000000, 4.49143592; 4.82000000, 4.47177748; 4.83000000, 4.45192973; 4.84000000, 4.43190010; 4.85000000, 4.41169573; 4.86000000, 4.39132347; 4.87000000, 4.37078989; 4.88000000, 4.35010134; 4.89000000, 4.32926389; 4.90000000, 4.30828338; 4.91000000, 4.28716542; 4.92000000, 4.26591541; 4.93000000, 4.24453853; 4.94000000, 4.22303974; 4.95000000, 4.20142385; 4.96000000, 4.17969544; 4.97000000, 4.15785892; 4.98000000, 4.13591854; 4.99000000, 4.11387837; 5.00000000, 4.09174234; 5.01000000, 4.06951419; 5.02000000, 4.04719755; 5.03000000, 4.02479589; 5.04000000, 4.00231255; 5.05000000, 3.97975073; 5.06000000, 3.95711351; 5.07000000, 3.93440386; 5.08000000, 3.91162461; 5.09000000, 3.88877850; 5.10000000, 3.86586816; 5.11000000, 3.84289610; 5.12000000, 3.81986475; 5.13000000, 3.79677645; 5.14000000, 3.77363341; 5.15000000, 3.75043781; 5.16000000, 3.72719169; 5.17000000, 3.70389705; 5.18000000, 3.68055579; 5.19000000, 3.65716975; 5.20000000, 3.63374068; 5.21000000, 3.61027028; 5.22000000, 3.58676017; 5.23000000, 3.56321190; 5.24000000, 3.53962700; 5.25000000, 3.51600688; 5.26000000, 3.49235295; 5.27000000, 3.46866652; 5.28000000, 3.44494888; 5.29000000, 3.42120126; 5.30000000, 3.39742483; 5.31000000, 3.37362074; 5.32000000, 3.34979007; 5.33000000, 3.32593387; 5.34000000, 3.30205314; 5.35000000, 3.27814885; 5.36000000, 3.25422193; 5.37000000, 3.23027328; 5.38000000, 3.20633095; 5.39000000, 3.18242183; 5.40000000, 3.15854501; 5.41000000, 3.13469965; 5.42000000, 3.11088495; 5.43000000, 3.08710014; 5.44000000, 3.06334447; 5.45000000, 3.03961726; 5.46000000, 3.01591783; 5.47000000, 2.99224555; 5.48000000, 2.96859982; 5.49000000, 2.94498006; 5.50000000, 2.92138575; 5.51000000, 2.89781636; 5.52000000, 2.87427141; 5.53000000, 2.85075044; 5.54000000, 2.82725301; 5.55000000, 2.80377872; 5.56000000, 2.78032719; 5.57000000, 2.75689805; 5.58000000, 2.73349096; 5.59000000, 2.71010560; 5.60000000, 2.68674169; 5.61000000, 2.66339895; 5.62000000, 2.64007713; 5.63000000, 2.61677598; 5.64000000, 2.59349530; 5.65000000, 2.57023488; 5.66000000, 2.54699456; 5.67000000, 2.52377416; 5.68000000, 2.50057355; 5.69000000, 2.47739259; 5.70000000, 2.45423119; 5.71000000, 2.43108923; 5.72000000, 2.40796666; 5.73000000, 2.38486340; 5.74000000, 2.36177940; 5.75000000, 2.33871464; 5.76000000, 2.31566910; 5.77000000, 2.29264277; 5.78000000, 2.26963568; 5.79000000, 2.24664783; 5.80000000, 2.22367929; 5.81000000, 2.20073009; 5.82000000, 2.17780032; 5.83000000, 2.15489005; 5.84000000, 2.13199938; 5.85000000, 2.10912842; 5.86000000, 2.08627730; 5.87000000, 2.06344616; 5.88000000, 2.04063515; 5.89000000, 2.01784443; 5.90000000, 1.99507419; 5.91000000, 1.97232463; 5.92000000, 1.94959595; 5.93000000, 1.92688838; 5.94000000, 1.90420216; 5.95000000, 1.88153754; 5.96000000, 1.85889480; 5.97000000, 1.83627422; 5.98000000, 1.81367609; 5.99000000, 1.79110075; 6.00000000, 1.76854851; 6.01000000, 1.74601974; 6.02000000, 1.72351480; 6.03000000, 1.70103408; 6.04000000, 1.67857797; 6.05000000, 1.65614692; 6.06000000, 1.63374135; 6.07000000, 1.61136173; 6.08000000, 1.58900854; 6.09000000, 1.56668230; 6.10000000, 1.54438352; 6.11000000, 1.52211276; 6.12000000, 1.49987059; 6.13000000, 1.47765761; 6.14000000, 1.45547444; 6.15000000, 1.43332175; 6.16000000, 1.41120020; 6.17000000, 1.38911051; 6.18000000, 1.36705343; 6.19000000, 1.34502971; 6.20000000, 1.32304017; 6.21000000, 1.30108566; 6.22000000, 1.27916704; 6.23000000, 1.25728524; 6.24000000, 1.23544122; 6.25000000, 1.21363598; 6.26000000, 1.19187056; 6.27000000, 1.17014607; 6.28000000, 1.14846365; 6.29000000, 1.12682449; 6.30000000, 1.10522986; 6.31000000, 1.08368107; 6.32000000, 1.06217950; 6.33000000, 1.04072660; 6.34000000, 1.01932389; 6.35000000, 0.99957467; 6.36000000, 0.98303844; 6.37000000, 0.96964631; 6.38000000, 0.95932267; 6.39000000, 0.95198484; 6.40000000, 0.94754301; 6.41000000, 0.94590033; 6.42000000, 0.94695325; 6.43000000, 0.95059211; 6.44000000, 0.95670177; 6.45000000, 0.96516258; 6.46000000, 0.97585124; 6.47000000, 0.98864190; 6.48000000, 1.00340714; 6.49000000, 1.02001900; 6.50000000, 1.03835000; 6.51000000, 1.05827397; 6.52000000, 1.07966689; 6.53000000, 1.10240758; 6.54000000, 1.12637831; 6.55000000, 1.15146531; 6.56000000, 1.17755910; 6.57000000, 1.20455485; 6.58000000, 1.23235254; 6.59000000, 1.26085710; 6.60000000, 1.28997852; 6.61000000, 1.31963176; 6.62000000, 1.34973680; 6.63000000, 1.38021849; 6.64000000, 1.41100646; 6.65000000, 1.44203501; 6.66000000, 1.47324286; 6.67000000, 1.50457308; 6.68000000, 1.53597284; 6.69000000, 1.56739325; 6.70000000, 1.59878913; 6.71000000, 1.63011888; 6.72000000, 1.66134425; 6.73000000, 1.69243013; 6.74000000, 1.72334444; 6.75000000, 1.75405787; 6.76000000, 1.78454378; 6.77000000, 1.81477798; 6.78000000, 1.84473863; 6.79000000, 1.87440603; 6.80000000, 1.90376253; 6.81000000, 1.93279235; 6.82000000, 1.96148150; 6.83000000, 1.98987772; 6.84000000, 2.01802596; 6.85000000, 2.04591046; 6.86000000, 2.07351703; 6.87000000, 2.10083292; 6.88000000, 2.12784675; 6.89000000, 2.15454838; 6.90000000, 2.18092891; 6.91000000, 2.20698053; 6.92000000, 2.23269645; 6.93000000, 2.25807089; 6.94000000, 2.28309894; 6.95000000, 2.30777654; 6.96000000, 2.33210042; 6.97000000, 2.35606802; 6.98000000, 2.37967746; 6.99000000, 2.40292749; 7.00000000, 2.42581742; 7.01000000, 2.44834710; 7.02000000, 2.47051687; 7.03000000, 2.49232753; 7.04000000, 2.51378029; 7.05000000, 2.53487674; 7.06000000, 2.55561881; 7.07000000, 2.57600878; 7.08000000, 2.59604918; 7.09000000, 2.61574285; 7.10000000, 2.63509283; 7.11000000, 2.65410240; 7.12000000, 2.67277503; 7.13000000, 2.69111437; 7.14000000, 2.70912422; 7.15000000, 2.72680853; 7.16000000, 2.74417136; 7.17000000, 2.76121689; 7.18000000, 2.77741665; 7.19000000, 2.79227452; 7.20000000, 2.80584176; 7.21000000, 2.81816776; 7.22000000, 2.82930007; 7.23000000, 2.83928453; 7.24000000, 2.84816526; 7.25000000, 2.85598477; 7.26000000, 2.86278399; 7.27000000, 2.86860234; 7.28000000, 2.87347778; 7.29000000, 2.87744687; 7.30000000, 2.88054480; 7.31000000, 2.88280547; 7.32000000, 2.88426151; 7.33000000, 2.88494437; 7.34000000, 2.88488428; 7.35000000, 2.88411039; 7.36000000, 2.88265076; 7.37000000, 2.88053239; 7.38000000, 2.87778130; 7.39000000, 2.87442253; 7.40000000, 2.87048019; 7.41000000, 2.86597750; 7.42000000, 2.86093682; 7.43000000, 2.85537968; 7.44000000, 2.84932680; 7.45000000, 2.84279816]) annotation(
     Placement(visible = true, transformation(origin = {-84, -52}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
-Modelica.Blocks.Routing.Multiplex2 multiplex2(n1 = 1, n2 = 1)  annotation(
+  Modelica.Blocks.Routing.Multiplex2 multiplex2(n1 = 1, n2 = 1) annotation(
     Placement(visible = true, transformation(origin = {-42, 20}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
-Modelica.Blocks.Routing.Replicator replicator(nout = 1)  annotation(
+  Modelica.Blocks.Routing.Replicator replicator(nout = 1)  annotation(
     Placement(visible = true, transformation(origin = {-54, 60}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
-Neural_Network.Utilities.SamplerMIMO sampler(nin = 2, nout = 2, samplePeriod = 0.01)  annotation(
+  NeuralNetwork.Utilities.SamplerMIMO sampler(nin = 2, nout = 2, samplePeriod = 0.01)  annotation(
     Placement(visible = true, transformation(origin = {-6, 20}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
-Utilities.TimeDelay timeDelay(delay = 55,nin = 2, nout = 111, numInputs = 1, numOutputs = 1, samplePeriod = 0.01, y_start = {0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.32082790, 1.33688047, 1.35258908, 1.36793968, 1.38291766, 1.39750780, 1.41169425, 1.42546055, 1.43878953, 1.45166334, 1.46406340, 1.47597037, 1.48736412, 1.49822369, 1.50852730, 1.51825223, 1.52737487, 1.53587063, 1.54371393, 1.55087814, 1.55733554, 1.56305728, 1.56801334, 1.57217246, 1.57550212, 1.57840523, 1.58130591, 1.58420247, 1.58709311, 1.58997602, 1.59284928, 1.59571094, 1.59855895, 1.60139121, 1.60420554, 1.60699969, 1.60977134, 1.61251807, 1.61523740, 1.61792678, 1.62058353, 1.62320494, 1.62578817, 1.62833031, 1.63082835, 1.63327919, 1.63567961, 1.63802632, 1.64031592, 1.64254488, 1.64470958, 1.64680629, 1.64883117, 1.65078024, 1.65264943})  annotation(
+  NeuralNetwork.Utilities.TimeDelay timeDelay(delay = 55,nin = 2, nout = 111, numInputs = 1, numOutputs = 1, samplePeriod = 0.01, y_start = {0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.32082790, 1.33688047, 1.35258908, 1.36793968, 1.38291766, 1.39750780, 1.41169425, 1.42546055, 1.43878953, 1.45166334, 1.46406340, 1.47597037, 1.48736412, 1.49822369, 1.50852730, 1.51825223, 1.52737487, 1.53587063, 1.54371393, 1.55087814, 1.55733554, 1.56305728, 1.56801334, 1.57217246, 1.57550212, 1.57840523, 1.58130591, 1.58420247, 1.58709311, 1.58997602, 1.59284928, 1.59571094, 1.59855895, 1.60139121, 1.60420554, 1.60699969, 1.60977134, 1.61251807, 1.61523740, 1.61792678, 1.62058353, 1.62320494, 1.62578817, 1.62833031, 1.63082835, 1.63327919, 1.63567961, 1.63802632, 1.64031592, 1.64254488, 1.64470958, 1.64680629, 1.64883117, 1.65078024, 1.65264943})  annotation(
     Placement(visible = true, transformation(origin = {26, 20}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
-Network.NARX_3_Layer nARX_3_Layer annotation(
+  NeuralNetwork.Network.NARX_MISO_3_Layer nARX_3_Layer annotation(
     Placement(visible = true, transformation(origin = {64, 20}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
 equation
   connect(timeTable_u.y, replicator.u) annotation(
@@ -27,5 +28,4 @@ equation
     Line(points = {{76, 20}, {86, 20}, {86, -20}, {-70, -20}, {-70, 14}, {-54, 14}}, color = {0, 0, 127}, thickness = 0.5));
   connect(timeDelay.y, nARX_3_Layer.u) annotation(
     Line(points = {{38, 20}, {52, 20}}, color = {0, 0, 127}, thickness = 0.5));
-protected
 end NARX;
diff --git a/NeuralNetwork/Example_Models/NARX/Model/init_pred.txt b/Example_Models/NARX/Model/init_pred.txt
similarity index 100%
rename from NeuralNetwork/Example_Models/NARX/Model/init_pred.txt
rename to Example_Models/NARX/Model/init_pred.txt
diff --git a/NeuralNetwork/Example_Models/NARX/Model/test_u.txt b/Example_Models/NARX/Model/test_u.txt
similarity index 100%
rename from NeuralNetwork/Example_Models/NARX/Model/test_u.txt
rename to Example_Models/NARX/Model/test_u.txt
diff --git a/NeuralNetwork/Example_Models/NARX/Model/test_y.txt b/Example_Models/NARX/Model/test_y.txt
similarity index 100%
rename from NeuralNetwork/Example_Models/NARX/Model/test_y.txt
rename to Example_Models/NARX/Model/test_y.txt
diff --git a/NeuralNetwork/Example_Models/NARX/Network/Modelica_NARX_3_Layer.mo b/Example_Models/NARX/Network/Modelica_NARX_3_Layer.mo
similarity index 99%
rename from NeuralNetwork/Example_Models/NARX/Network/Modelica_NARX_3_Layer.mo
rename to Example_Models/NARX/Network/Modelica_NARX_3_Layer.mo
index 54e7f91..e0ba2f7 100644
--- a/NeuralNetwork/Example_Models/NARX/Network/Modelica_NARX_3_Layer.mo
+++ b/Example_Models/NARX/Network/Modelica_NARX_3_Layer.mo
@@ -1,10 +1,10 @@
 block NARX_3_Layer
-// This Block is the result of the python export  of the neural network for OpenModelica
+  // This Block is the result of the python export  of the neural network for OpenModelica
   parameter Neural_Network.Activation_Function.Type_Activation_Function ActivationFunction=Neural_Network.Activation_Function.ReLu;
   Neural_Network.Layer.Input_Hidden_Layer Layer_1(bias={-0.00003670,0.05084684,-0.01314463,-0.00005644,-0.00000207,0.09165394,-0.19829527,0.10587126,-0.00572438,-0.00152557,-0.01576809,0.50899756,-0.04291800,-0.02190774,-0.05732084,-0.01762180,-0.10451128,-0.00000386,-0.00000000,-0.07320894,-0.00006285,-0.04370195,-0.02870665,0.0183123},weights=[0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000;-0.00585582,-0.01045183,-0.01107915,-0.01567311,-0.01732324,-0.01747263,-0.02042099,-0.02223346,-0.02880742,-0.03404333,-0.03522958,-0.03172807,-0.02609060,-0.02211059,-0.02010264,-0.01417761,-0.01166777,-0.01068196,-0.00741828,-0.00444524,-0.00135018,0.00388819,0.00475491,0.00495354,0.00268983,-0.00142077,-0.00219407,-0.00112217,-0.00091085,-0.00147720,-0.00261850,-0.00242185,-0.00128086,-0.00220128,-0.00115049,-0.00065150,-0.00009134,0.00041884,0.00039746,0.00066954,-0.00055115,0.00044939,0.00001955,0.00064366,0.00183271,0.00090467,0.00123736,0.00131448,0.00137535,0.00089107,0.00024125,0.00234545,0.00145487,0.00115301,-0.00056770,-0.00128870,0.01448365,0.01380891,0.01308635,0.01231391,0.01152256,0.01073900,0.00996583,0.00918955,0.00844910,0.00770016,0.00700432,0.00636254,0.00577716,0.00524795,0.00477443,0.00436262,0.00397723,0.00364881,0.00334589,0.00309087,0.00288279,0.00269553,0.00255330,0.00245026,0.00236955,0.00230962,0.00226348,0.00222288,0.00218733,0.00215191,0.00211235,0.00206769,0.00203175,0.00199116,0.00195582,0.00192719,0.00189975,0.00186434,0.00182338,0.00177377,0.00171532,0.00165985,0.00158626,0.00148780,0.00136387,0.00122135,0.00107720,0.00093180,0.00077883,0.00062893,0.00049732,0.00037854,0.00025521,0.00013654,0.00001773;-0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000;0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000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   Neural_Network.Layer.Dense_Hidden_Layer Layer_2(bias={0.16575655,0.08988674,0.13906898,0.13875547,0.13552682,0.27965641,0.16487905,-0.02253340,-0.01981383,-0.03073334,0.13229477,-0.03344721,-0.01853947,0.13594680,-0.01812647,0.24598311,0.18592195,0.07913578,-0.03112329,-0.18808721,0.15181310,0.13986906,-0.01398030,0.1389110},weights=[-0.00000000,0.00733366,0.00000000,-0.00000000,-0.00000000,0.01061142,0.02610999,0.00868318,0.00000000,-0.00000000,0.00000000,0.00435029,0.00000000,0.00000000,0.05045006,0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,0.04991421;0.00000000,-0.02855938,-0.00000000,0.00000000,0.00000000,-0.02489500,-0.12013803,-0.04487906,-0.00000000,0.00000000,-0.00000000,0.02047229,0.00000000,-0.00000000,-0.06969284,-0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000,-0.08532699;-0.00000000,0.01249737,-0.00000000,0.00000000,0.00000000,0.01881866,0.04448595,0.01348126,-0.00000000,0.00000000,-0.00000000,0.01098811,0.00000000,0.00000000,0.09447884,-0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000,0.09282947;-0.00000000,0.01183457,0.00000000,0.00000000,0.00000000,0.01775399,0.04214925,0.01285845,-0.00000000,0.00000000,0.00000000,0.01002071,0.00000000,0.00000000,0.08860763,-0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,0.08717615;-0.00000000,0.00931614,0.00000000,0.00000000,0.00000000,0.01374037,0.03322827,0.01051135,-0.00000000,0.00000000,-0.00000000,0.00647404,0.00000000,0.00000000,0.06685747,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,0.06603070;0.00000000,-0.01847678,-0.00000000,0.00000000,0.00000000,-0.02105446,-0.06702915,-0.01955897,-0.00000000,-0.00000000,-0.00000000,-0.00159982,0.00000000,-0.00000000,-0.10249481,0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,-0.10031141;-0.00000000,0.01627953,-0.00000000,0.00000000,0.00000000,0.02499084,0.05778094,0.01705264,0.00000000,0.00000000,0.00000000,0.01729155,-0.00000000,0.00000000,0.13046712,-0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,0.12655443;0.00000000,-0.00000000,0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000;0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000;0.00000000,0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000;-0.00000000,0.01547056,-0.00000000,0.00000000,0.00000000,0.02364207,0.05494249,0.01628893,0.00000000,0.00000000,0.00000000,0.01627399,-0.00000000,-0.00000000,0.12196550,0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000,0.11875902;0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,-0.00000000,0.00000000;-0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000;-0.00000000,0.00969731,-0.00000000,-0.00000000,0.00000000,0.01434494,0.03458459,0.01086427,0.00000000,0.00000000,-0.00000000,0.00693653,-0.00000000,-0.00000000,0.07008993,-0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000,0.06919254;0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000;-0.00000000,-0.02218997,0.00000000,0.00000000,0.00000000,-0.01609925,-0.08026659,-0.02311864,0.00000000,0.00000000,-0.00000000,0.01640327,0.00000000,-0.00000000,-0.09806751,-0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,-0.08446708;0.00000000,0.01678446,0.00000000,-0.00000000,-0.00000000,0.02583655,0.05955230,0.01752949,-0.00000000,0.00000000,-0.00000000,0.01906260,-0.00000000,0.00000000,0.13576168,0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,0.13148089;-0.00000000,-0.02338980,0.00000000,-0.00000000,0.00000000,-0.02436250,-0.10310852,-0.03777227,0.00000000,0.00000000,0.00000000,0.01201956,-0.00000000,-0.00000000,-0.05414360,0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,-0.07363455;-0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000;0.00000000,0.01713090,0.00000000,-0.00000000,-0.00000000,0.04298414,0.00119969,0.00000000,-0.00000000,-0.00000000,0.00000000,-0.04422953,0.00000000,-0.00000000,0.12745720,-0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.19910890;0.00000000,-0.01061003,-0.00000000,-0.00000000,0.00000000,-0.01116306,-0.04022486,-0.01236195,0.00000000,-0.00000000,-0.00000000,-0.00190211,-0.00000000,0.00000000,-0.05480317,-0.00000000,-0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,-0.05519745;0.00000000,0.01494732,0.00000000,0.00000000,0.00000000,0.02279121,0.05310369,0.01579343,-0.00000000,0.00000000,0.00000000,0.01666422,-0.00000000,0.00000000,0.11730742,0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000,0.11434253;0.00000000,0.02018375,-0.00000000,-0.00000000,-0.00000000,0.03184872,0.07100774,0.02181364,0.00000000,0.00000000,-0.00000000,0.02020836,-0.00000000,-0.00000000,0.16037633,0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,0.15457879;-0.00000000,0.01090505,0.00000000,-0.00000000,0.00000000,0.01626747,0.03886593,0.01198809,-0.00000000,0.00000000,0.00000000,0.00853670,-0.00000000,-0.00000000,0.08047511,0.00000000,-0.00000000,0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,0.0793092],NeuronActivation_Function=ActivationFunction,numInputs=24,numNeurons=24);
   Neural_Network.Layer.Output_Hidden_Layer Layer_3(bias={0.1411882},weights=[0.56565404,-4.12500000,1.02992809,0.97042811,0.74430037,-1.60763276,1.36958885,0.40660158,-0.04190858,-0.27448764,1.29703057,-0.12845120,-0.39054286,0.77854937,-2.18206573,-1.94725823,1.41488993,-3.38318825,0.01557233,3.25875926,-0.92205948,1.24996793,1.70971394,0.8869874],numInputs=24,numNeurons=1,rescale=false,max={1.0},min={0.0},destandardization=false,mean={0.0},std={1.0});
- extends Modelica.Blocks.Interfaces.MIMO(final nin=111,final nout=1);
+  extends Modelica.Blocks.Interfaces.MIMO(final nin=111,final nout=1);
 equation
   connect(u,Layer_1.u);
   connect(Layer_1.y,Layer_2.u);
diff --git a/Example_Models/NARX_MISO/Model/NARX_MISO.mo b/Example_Models/NARX_MISO/Model/NARX_MISO.mo
new file mode 100644
index 0000000..12049db
--- /dev/null
+++ b/Example_Models/NARX_MISO/Model/NARX_MISO.mo
@@ -0,0 +1,39 @@
+model NARX_MISO
+  // Application of the MISO NARX-Neural Network that was created in Python and exported to OpenModelica.
+  // It is importent to model the estimated time lags.
+  Neural_Network.Utilities.TimeDelay timeDelay(delay = 4, nin = 3, nout = 14, numInputs = 2, numOutputs = 1, samplePeriod = 10, y_start = {10.89064200, 11.93020100, 9.46135470, 11.02564200, 8.87583670, 1.00000000, 1.00000000, 1.00000000, 1.00000000, 1.00000000, 10.95541600, 10.89493000, 10.83935000, 6.91290870}) annotation(
+    Placement(visible = true, transformation(origin = {50, 30}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
+  Modelica.Blocks.Sources.TimeTable timeTable_y(table = [0.00000000, 10.96989000; 10.00000000, 10.98481300; 20.00000000, 10.99991500; 30.00000000, 11.01624200; 40.00000000, 11.02986000; 50.00000000, 11.04274700; 60.00000000, 11.07037400; 70.00000000, 11.07719000; 80.00000000, 11.09499900; 90.00000000, 11.11799100; 100.00000000, 11.13570800; 110.00000000, 11.15447000; 120.00000000, 11.14974300; 130.00000000, 11.13681100; 140.00000000, 11.14483100; 150.00000000, 11.15262500; 160.00000000, 11.15818700; 170.00000000, 11.16584900; 180.00000000, 11.15498700; 190.00000000, 11.14579800; 200.00000000, 11.16485500; 210.00000000, 11.17683500; 220.00000000, 11.05917800; 230.00000000, 10.89493600; 240.00000000, 10.61499300; 250.00000000, 9.83171040; 260.00000000, 6.00605160; 270.00000000, 5.62466230; 280.00000000, 5.40523860; 290.00000000, 5.24967910; 300.00000000, 5.11683850; 310.00000000, 5.02158460; 320.00000000, 4.94281880; 330.00000000, 4.85275750; 340.00000000, 4.77398730; 350.00000000, 4.70344430; 360.00000000, 4.63440890; 370.00000000, 4.56664700; 380.00000000, 4.51319900; 390.00000000, 4.46079100; 400.00000000, 4.41068460; 410.00000000, 4.36280420; 420.00000000, 4.31692130; 430.00000000, 4.27297520; 440.00000000, 4.23089310; 450.00000000, 4.19051930; 460.00000000, 4.15251140; 470.00000000, 4.61637610; 480.00000000, 5.01807170; 490.00000000, 5.53889850; 500.00000000, 10.24042500; 510.00000000, 10.86452600; 520.00000000, 11.09112000; 530.00000000, 11.22622800; 540.00000000, 11.31971200; 550.00000000, 11.38933500; 560.00000000, 11.44359700; 570.00000000, 11.48717900; 580.00000000, 11.52290000; 590.00000000, 11.55268500; 600.00000000, 11.57781000; 610.00000000, 11.59922400; 620.00000000, 11.61761400; 630.00000000, 11.63352000; 640.00000000, 11.64734400; 650.00000000, 11.65939700; 660.00000000, 11.66995000; 670.00000000, 11.67185200; 680.00000000, 11.68091300; 690.00000000, 11.69747400; 700.00000000, 11.71143100; 710.00000000, 11.70714300; 720.00000000, 11.63178700; 730.00000000, 11.56676000; 740.00000000, 11.48116900; 750.00000000, 11.38007300; 760.00000000, 11.28674300; 770.00000000, 11.17064200; 780.00000000, 11.04649300; 790.00000000, 10.84968200; 800.00000000, 10.49536500; 810.00000000, 6.74840670; 820.00000000, 5.72856670; 830.00000000, 5.45858660; 840.00000000, 5.22510510; 850.00000000, 5.06010540; 860.00000000, 4.93300440; 870.00000000, 4.82998470; 880.00000000, 4.74421840; 890.00000000, 4.67149200; 900.00000000, 4.60873690; 910.00000000, 4.55369730; 920.00000000, 4.50411610; 930.00000000, 4.45791150; 940.00000000, 4.41295170; 950.00000000, 4.36788610; 960.00000000, 4.32256360; 970.00000000, 4.52928920; 980.00000000, 4.70843880; 990.00000000, 4.86370190; 1000.00000000, 5.00653950; 1010.00000000, 5.14547680; 1020.00000000, 5.28960150; 1030.00000000, 5.45470500; 1040.00000000, 5.66265160; 1050.00000000, 5.97640290; 1060.00000000, 6.65716480; 1070.00000000, 9.87379140; 1080.00000000, 10.22147000; 1090.00000000, 10.39435700; 1100.00000000, 10.51103100; 1110.00000000, 10.60595800; 1120.00000000, 10.69237700; 1130.00000000, 10.77397900; 1140.00000000, 10.85062100; 1150.00000000, 10.92198100; 1160.00000000, 10.98659400; 1170.00000000, 11.04301300; 1180.00000000, 11.09040500; 1190.00000000, 11.12751400; 1200.00000000, 11.15439200; 1210.00000000, 11.16866800; 1220.00000000, 11.03553500; 1230.00000000, 10.84121700; 1240.00000000, 10.50506600; 1250.00000000, 6.74296370; 1260.00000000, 5.75899650; 1270.00000000, 5.45554250; 1280.00000000, 5.28681040; 1290.00000000, 5.15660300; 1300.00000000, 5.01874200; 1310.00000000, 4.89487360; 1320.00000000, 4.82140060; 1330.00000000, 4.75407650; 1340.00000000, 4.69075990; 1350.00000000, 4.63056880; 1360.00000000, 4.57282390; 1370.00000000, 4.51702030; 1380.00000000, 4.46279230; 1390.00000000, 4.40991390; 1400.00000000, 4.35832460; 1410.00000000, 4.30801920; 1420.00000000, 4.25905720; 1430.00000000, 4.21160890; 1440.00000000, 4.16583700; 1450.00000000, 4.12196630; 1460.00000000, 4.08085670; 1470.00000000, 4.57378080; 1480.00000000, 4.97097610; 1490.00000000, 5.43481470; 1500.00000000, 9.62003460; 1510.00000000, 10.73946800; 1520.00000000, 11.00129800; 1530.00000000, 11.15003000; 1540.00000000, 11.25201300; 1550.00000000, 11.32866700; 1560.00000000, 11.38989400; 1570.00000000, 11.44085100; 1580.00000000, 11.48455100; 1590.00000000, 11.52298200; 1600.00000000, 11.55732300; 1610.00000000, 11.58842100; 1620.00000000, 11.61675500; 1630.00000000, 11.64268500; 1640.00000000, 11.66635100; 1650.00000000, 11.68779700; 1660.00000000, 11.70707900; 1670.00000000, 11.72413900; 1680.00000000, 11.73899600; 1690.00000000, 11.75158700; 1700.00000000, 11.76191700; 1710.00000000, 11.76995000; 1720.00000000, 11.77572300; 1730.00000000, 11.77923700; 1740.00000000, 11.78058300; 1750.00000000, 11.77985600; 1760.00000000, 11.77721000; 1770.00000000, 11.77285400; 1780.00000000, 11.76699900; 1790.00000000, 11.75993800; 1800.00000000, 11.75193500; 1810.00000000, 11.74331700; 1820.00000000, 11.73439600; 1830.00000000, 11.72550300; 1840.00000000, 11.71696900; 1850.00000000, 11.70910600; 1860.00000000, 11.70221900; 1870.00000000, 11.69656900; 1880.00000000, 11.69238600; 1890.00000000, 11.68983800; 1900.00000000, 11.68904400; 1910.00000000, 11.69005100; 1920.00000000, 11.69284900; 1930.00000000, 11.69735900; 1940.00000000, 11.70345000; 1950.00000000, 11.71126100; 1960.00000000, 11.71987600]) annotation(
+    Placement(visible = true, transformation(origin = {-84, -24}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
+  Modelica.Blocks.Sources.TimeTable timeTable_u1(table = [0.00000000, 10.89064200; 10.00000000, 11.01342300; 20.00000000, 10.60607400; 30.00000000, 10.52653900; 40.00000000, 11.53882900; 50.00000000, 9.09083990; 60.00000000, 11.06597900; 70.00000000, 9.91092710; 80.00000000, 9.09962740; 90.00000000, 9.43705990; 100.00000000, 8.66602880; 110.00000000, 9.94606950; 120.00000000, 11.59062500; 130.00000000, 11.63683200; 140.00000000, 8.24225730; 150.00000000, 10.01809200; 160.00000000, 10.06516800; 170.00000000, 9.27613180; 180.00000000, 11.94656800; 190.00000000, 9.06457800; 200.00000000, 8.36293160; 210.00000000, 11.79105700; 220.00000000, 10.00282800; 230.00000000, 9.10832720; 240.00000000, 11.65527000; 250.00000000, 10.11899000; 260.00000000, 9.85778330; 270.00000000, 11.76392000; 280.00000000, 8.20033590; 290.00000000, 11.08081800; 300.00000000, 11.31126900; 310.00000000, 8.50146150; 320.00000000, 10.75382100; 330.00000000, 11.47298900; 340.00000000, 10.94489800; 350.00000000, 10.90164800; 360.00000000, 11.99783200; 370.00000000, 8.93277950; 380.00000000, 10.00000000; 390.00000000, 10.00000000; 400.00000000, 10.00000000; 410.00000000, 10.00000000; 420.00000000, 10.00000000; 430.00000000, 10.00000000; 440.00000000, 10.00000000; 450.00000000, 10.00000000; 460.00000000, 10.00000000; 470.00000000, 10.00000000; 480.00000000, 10.00000000; 490.00000000, 10.00000000; 500.00000000, 10.00000000; 510.00000000, 10.00000000; 520.00000000, 10.00000000; 530.00000000, 10.00000000; 540.00000000, 10.00000000; 550.00000000, 10.00000000; 560.00000000, 10.00000000; 570.00000000, 10.00000000; 580.00000000, 10.00000000; 590.00000000, 10.00000000; 600.00000000, 10.00000000; 610.00000000, 10.00000000; 620.00000000, 10.00000000; 630.00000000, 10.00000000; 640.00000000, 10.00000000; 650.00000000, 10.00000000; 660.00000000, 11.96797200; 670.00000000, 11.95844600; 680.00000000, 8.45447100; 690.00000000, 8.55393050; 700.00000000, 8.66152030; 710.00000000, 11.87600000; 720.00000000, 9.84969780; 730.00000000, 11.57732400; 740.00000000, 11.76732500; 750.00000000, 11.90334100; 760.00000000, 8.49802550; 770.00000000, 9.43989000; 780.00000000, 8.98420680; 790.00000000, 11.92676000; 800.00000000, 11.65465600; 810.00000000, 11.20931200; 820.00000000, 8.06460770; 830.00000000, 11.87057700; 840.00000000, 11.99982400; 850.00000000, 11.85112500; 860.00000000, 11.44514900; 870.00000000, 10.83831900; 880.00000000, 10.11497500; 890.00000000, 9.37565150; 900.00000000, 8.72310290; 910.00000000, 8.24802360; 920.00000000, 8.01644230; 930.00000000, 8.06054530; 940.00000000, 8.37420290; 950.00000000, 8.91382150; 960.00000000, 9.60440240; 970.00000000, 10.34996500; 980.00000000, 11.04688800; 990.00000000, 11.59831000; 1000.00000000, 11.92759100; 1010.00000000, 11.98896600; 1020.00000000, 11.77390500; 1030.00000000, 9.50691340; 1040.00000000, 10.20143400; 1050.00000000, 10.87153000; 1060.00000000, 11.43594900; 1070.00000000, 11.82625300; 1080.00000000, 11.99511500; 1090.00000000, 11.92206000; 1100.00000000, 11.61594700; 1110.00000000, 11.11389300; 1120.00000000, 10.47677400; 1130.00000000, 9.78184390; 1140.00000000, 9.11336650; 1150.00000000, 8.55239750; 1160.00000000, 8.16695690; 1170.00000000, 8.00378120; 1180.00000000, 8.08265610; 1190.00000000, 8.39401770; 1200.00000000, 8.90011210; 1210.00000000, 9.53957280; 1220.00000000, 10.23486300; 1230.00000000, 10.90167400; 1240.00000000, 11.45915300; 1250.00000000, 11.83970400; 1260.00000000, 8.02602590; 1270.00000000, 8.01066460; 1280.00000000, 8.02102580; 1290.00000000, 8.00637580; 1300.00000000, 11.99070200; 1310.00000000, 8.00397460; 1320.00000000, 8.05640310; 1330.00000000, 8.16820250; 1340.00000000, 8.33595770; 1350.00000000, 8.55454420; 1360.00000000, 8.81728490; 1370.00000000, 9.11615400; 1380.00000000, 9.44202180; 1390.00000000, 9.78493420; 1400.00000000, 10.13441600; 1410.00000000, 10.47979200; 1420.00000000, 10.81051200; 1430.00000000, 11.11647300; 1440.00000000, 11.38832900; 1450.00000000, 11.61777600; 1460.00000000, 11.79780600; 1470.00000000, 11.92291700; 1480.00000000, 11.98929000; 1490.00000000, 11.99489500; 1500.00000000, 11.93956300; 1510.00000000, 11.82498300; 1520.00000000, 11.65465600; 1530.00000000, 11.43378400; 1540.00000000, 11.16911400; 1550.00000000, 10.86873100; 1560.00000000, 10.54181200; 1570.00000000, 10.19834100; 1580.00000000, 9.84881210; 1590.00000000, 9.50390140; 1600.00000000, 9.17414490; 1610.00000000, 8.86961580; 1620.00000000, 8.59961640; 1630.00000000, 8.37239440; 1640.00000000, 8.19489080; 1650.00000000, 8.07252770; 1660.00000000, 8.00904290; 1670.00000000, 8.00637580; 1680.00000000, 8.06460770; 1690.00000000, 8.18196000; 1700.00000000, 8.35484770; 1710.00000000, 8.57798980; 1720.00000000, 8.84456990; 1730.00000000, 9.14644490; 1740.00000000, 9.47439330; 1750.00000000, 9.81839740; 1760.00000000, 10.16794900; 1770.00000000, 10.51237000; 1780.00000000, 10.84114000; 1790.00000000, 11.14421600; 1800.00000000, 11.41233900; 1810.00000000, 11.63732000; 1820.00000000, 11.81228500; 1830.00000000, 11.93189100; 1840.00000000, 11.99248400; 1850.00000000, 11.99221200; 1860.00000000, 11.93108500; 1870.00000000, 11.81096800; 1880.00000000, 11.63553300; 1890.00000000, 11.41013600; 1900.00000000, 11.14166500; 1910.00000000, 10.83831900; 1920.00000000, 10.50936500; 1930.00000000, 10.16485100; 1940.00000000, 9.81530190; 1950.00000000, 9.47139470; 1960.00000000, 9.14363470]) annotation(
+    Placement(visible = true, transformation(origin = {-86, 70}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
+  Neural_Network.Utilities.SamplerMIMO sampler(nin = 3, nout = 3, samplePeriod = 10) annotation(
+    Placement(visible = true, transformation(origin = {18, 30}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
+  Modelica.Blocks.Sources.TimeTable timeTable_u2(table = [0.00000000, 1.00000000; 10.00000000, 1.00000000; 20.00000000, 1.00000000; 30.00000000, 1.00000000; 40.00000000, 1.00000000; 50.00000000, 1.00000000; 60.00000000, 1.00000000; 70.00000000, 1.00000000; 80.00000000, 1.00000000; 90.00000000, 1.00000000; 100.00000000, 1.00000000; 110.00000000, 1.00000000; 120.00000000, 1.00000000; 130.00000000, 1.00000000; 140.00000000, 1.00000000; 150.00000000, 1.00000000; 160.00000000, 1.00000000; 170.00000000, 1.00000000; 180.00000000, 1.00000000; 190.00000000, 1.00000000; 200.00000000, 1.00000000; 210.00000000, 1.00000000; 220.00000000, 0.00000000; 230.00000000, 0.00000000; 240.00000000, 0.00000000; 250.00000000, 0.00000000; 260.00000000, 0.00000000; 270.00000000, 0.00000000; 280.00000000, 0.00000000; 290.00000000, 0.00000000; 300.00000000, 0.00000000; 310.00000000, 0.00000000; 320.00000000, 0.00000000; 330.00000000, 0.00000000; 340.00000000, 0.00000000; 350.00000000, 0.00000000; 360.00000000, 0.00000000; 370.00000000, 0.00000000; 380.00000000, 0.00000000; 390.00000000, 0.00000000; 400.00000000, 0.00000000; 410.00000000, 0.00000000; 420.00000000, 0.00000000; 430.00000000, 0.00000000; 440.00000000, 0.00000000; 450.00000000, 0.00000000; 460.00000000, 0.00000000; 470.00000000, 2.00000000; 480.00000000, 2.00000000; 490.00000000, 2.00000000; 500.00000000, 2.00000000; 510.00000000, 2.00000000; 520.00000000, 2.00000000; 530.00000000, 2.00000000; 540.00000000, 2.00000000; 550.00000000, 2.00000000; 560.00000000, 2.00000000; 570.00000000, 2.00000000; 580.00000000, 2.00000000; 590.00000000, 2.00000000; 600.00000000, 2.00000000; 610.00000000, 2.00000000; 620.00000000, 2.00000000; 630.00000000, 2.00000000; 640.00000000, 2.00000000; 650.00000000, 2.00000000; 660.00000000, 2.00000000; 670.00000000, 2.00000000; 680.00000000, 2.00000000; 690.00000000, 2.00000000; 700.00000000, 2.00000000; 710.00000000, 2.00000000; 720.00000000, 0.00000000; 730.00000000, 0.00000000; 740.00000000, 0.00000000; 750.00000000, 0.00000000; 760.00000000, 0.00000000; 770.00000000, 0.00000000; 780.00000000, 0.00000000; 790.00000000, 0.00000000; 800.00000000, 0.00000000; 810.00000000, 0.00000000; 820.00000000, 0.00000000; 830.00000000, 0.00000000; 840.00000000, 0.00000000; 850.00000000, 0.00000000; 860.00000000, 0.00000000; 870.00000000, 0.00000000; 880.00000000, 0.00000000; 890.00000000, 0.00000000; 900.00000000, 0.00000000; 910.00000000, 0.00000000; 920.00000000, 0.00000000; 930.00000000, 0.00000000; 940.00000000, 0.00000000; 950.00000000, 0.00000000; 960.00000000, 0.00000000; 970.00000000, 1.00000000; 980.00000000, 1.00000000; 990.00000000, 1.00000000; 1000.00000000, 1.00000000; 1010.00000000, 1.00000000; 1020.00000000, 1.00000000; 1030.00000000, 1.00000000; 1040.00000000, 1.00000000; 1050.00000000, 1.00000000; 1060.00000000, 1.00000000; 1070.00000000, 1.00000000; 1080.00000000, 1.00000000; 1090.00000000, 1.00000000; 1100.00000000, 1.00000000; 1110.00000000, 1.00000000; 1120.00000000, 1.00000000; 1130.00000000, 1.00000000; 1140.00000000, 1.00000000; 1150.00000000, 1.00000000; 1160.00000000, 1.00000000; 1170.00000000, 1.00000000; 1180.00000000, 1.00000000; 1190.00000000, 1.00000000; 1200.00000000, 1.00000000; 1210.00000000, 1.00000000; 1220.00000000, 0.00000000; 1230.00000000, 0.00000000; 1240.00000000, 0.00000000; 1250.00000000, 0.00000000; 1260.00000000, 0.00000000; 1270.00000000, 0.00000000; 1280.00000000, 0.00000000; 1290.00000000, 0.00000000; 1300.00000000, 0.00000000; 1310.00000000, 0.00000000; 1320.00000000, 0.00000000; 1330.00000000, 0.00000000; 1340.00000000, 0.00000000; 1350.00000000, 0.00000000; 1360.00000000, 0.00000000; 1370.00000000, 0.00000000; 1380.00000000, 0.00000000; 1390.00000000, 0.00000000; 1400.00000000, 0.00000000; 1410.00000000, 0.00000000; 1420.00000000, 0.00000000; 1430.00000000, 0.00000000; 1440.00000000, 0.00000000; 1450.00000000, 0.00000000; 1460.00000000, 0.00000000; 1470.00000000, 2.00000000; 1480.00000000, 2.00000000; 1490.00000000, 2.00000000; 1500.00000000, 2.00000000; 1510.00000000, 2.00000000; 1520.00000000, 2.00000000; 1530.00000000, 2.00000000; 1540.00000000, 2.00000000; 1550.00000000, 2.00000000; 1560.00000000, 2.00000000; 1570.00000000, 2.00000000; 1580.00000000, 2.00000000; 1590.00000000, 2.00000000; 1600.00000000, 2.00000000; 1610.00000000, 2.00000000; 1620.00000000, 2.00000000; 1630.00000000, 2.00000000; 1640.00000000, 2.00000000; 1650.00000000, 2.00000000; 1660.00000000, 2.00000000; 1670.00000000, 2.00000000; 1680.00000000, 2.00000000; 1690.00000000, 2.00000000; 1700.00000000, 2.00000000; 1710.00000000, 2.00000000; 1720.00000000, 2.00000000; 1730.00000000, 2.00000000; 1740.00000000, 2.00000000; 1750.00000000, 2.00000000; 1760.00000000, 2.00000000; 1770.00000000, 2.00000000; 1780.00000000, 2.00000000; 1790.00000000, 2.00000000; 1800.00000000, 2.00000000; 1810.00000000, 2.00000000; 1820.00000000, 2.00000000; 1830.00000000, 2.00000000; 1840.00000000, 2.00000000; 1850.00000000, 2.00000000; 1860.00000000, 2.00000000; 1870.00000000, 2.00000000; 1880.00000000, 2.00000000; 1890.00000000, 2.00000000; 1900.00000000, 2.00000000; 1910.00000000, 2.00000000; 1920.00000000, 2.00000000; 1930.00000000, 2.00000000; 1940.00000000, 2.00000000; 1950.00000000, 2.00000000; 1960.00000000, 2.00000000]) annotation(
+    Placement(visible = true, transformation(origin = {-84, 30}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
+  Modelica.Blocks.Routing.Replicator replicator(nout = 1) annotation(
+    Placement(visible = true, transformation(origin = {-56, 70}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
+  Modelica.Blocks.Routing.Replicator replicator1(nout = 1) annotation(
+    Placement(visible = true, transformation(origin = {-54, 30}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
+  Modelica.Blocks.Routing.Multiplex3 multiplex3 annotation(
+    Placement(visible = true, transformation(origin = {-14, 30}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
+  Neural_Network.Network.NARX_MISO_3_Layer nARX_MISO_3_Layer annotation(
+    Placement(visible = true, transformation(origin = {82, 30}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
+equation
+  connect(sampler.y, timeDelay.u) annotation(
+    Line(points = {{29, 30}, {38, 30}}, color = {0, 0, 127}, thickness = 0.5));
+  connect(timeTable_u1.y, replicator.u) annotation(
+    Line(points = {{-75, 70}, {-68, 70}}, color = {0, 0, 127}));
+  connect(timeTable_u2.y, replicator1.u) annotation(
+    Line(points = {{-73, 30}, {-66, 30}}, color = {0, 0, 127}));
+  connect(replicator1.y, multiplex3.u2) annotation(
+    Line(points = {{-43, 30}, {-26, 30}}, color = {0, 0, 127}, thickness = 0.5));
+  connect(replicator.y, multiplex3.u1) annotation(
+    Line(points = {{-45, 70}, {-40, 70}, {-40, 37}, {-26, 37}}, color = {0, 0, 127}, thickness = 0.5));
+  connect(multiplex3.y, sampler.u) annotation(
+    Line(points = {{-3, 30}, {6, 30}}, color = {0, 0, 127}, thickness = 0.5));
+  connect(timeDelay.y, nARX_MISO_3_Layer.u) annotation(
+    Line(points = {{62, 30}, {70, 30}}, color = {0, 0, 127}, thickness = 0.5));
+  connect(nARX_MISO_3_Layer.y, multiplex3.u3) annotation(
+    Line(points = {{94, 30}, {96, 30}, {96, 8}, {-40, 8}, {-40, 24}, {-26, 24}}, color = {0, 0, 127}, thickness = 0.5));
+end NARX_MISO;
diff --git a/NeuralNetwork/Example_Models/NARX_MISO/Model/init_pred.txt b/Example_Models/NARX_MISO/Model/init_pred.txt
similarity index 100%
rename from NeuralNetwork/Example_Models/NARX_MISO/Model/init_pred.txt
rename to Example_Models/NARX_MISO/Model/init_pred.txt
diff --git a/NeuralNetwork/Example_Models/NARX_MISO/Model/test_u1.txt b/Example_Models/NARX_MISO/Model/test_u1.txt
similarity index 100%
rename from NeuralNetwork/Example_Models/NARX_MISO/Model/test_u1.txt
rename to Example_Models/NARX_MISO/Model/test_u1.txt
diff --git a/NeuralNetwork/Example_Models/NARX_MISO/Model/test_u2.txt b/Example_Models/NARX_MISO/Model/test_u2.txt
similarity index 100%
rename from NeuralNetwork/Example_Models/NARX_MISO/Model/test_u2.txt
rename to Example_Models/NARX_MISO/Model/test_u2.txt
diff --git a/NeuralNetwork/Example_Models/NARX_MISO/Model/test_y.txt b/Example_Models/NARX_MISO/Model/test_y.txt
similarity index 100%
rename from NeuralNetwork/Example_Models/NARX_MISO/Model/test_y.txt
rename to Example_Models/NARX_MISO/Model/test_y.txt
diff --git a/NeuralNetwork/Example_Models/NARX_MISO/Network/Modelica_NARX_MISO_3_Layer.mo b/Example_Models/NARX_MISO/Network/Modelica_NARX_MISO_3_Layer.mo
similarity index 99%
rename from NeuralNetwork/Example_Models/NARX_MISO/Network/Modelica_NARX_MISO_3_Layer.mo
rename to Example_Models/NARX_MISO/Network/Modelica_NARX_MISO_3_Layer.mo
index 90f345f..3530b9a 100644
--- a/NeuralNetwork/Example_Models/NARX_MISO/Network/Modelica_NARX_MISO_3_Layer.mo
+++ b/Example_Models/NARX_MISO/Network/Modelica_NARX_MISO_3_Layer.mo
@@ -1,10 +1,10 @@
 block NARX_MISO_3_Layer
-// This Block is the result of the python export  of the neural network for OpenModelica
+  // This Block is the result of the python export  of the neural network for OpenModelica
   parameter Neural_Network.Activation_Function.Type_Activation_Function ActivationFunction=Neural_Network.Activation_Function.ReLu;
   Neural_Network.Layer.Input_Hidden_Layer Layer_1(bias={-0.00000677,0.20556270,-0.00000132,-0.00000881,-0.00002842,-0.02957853,-0.02369246,-0.00018398,0.57354265,-0.02597237,-0.00040900,-0.00000582,-0.00000060,0.46941766,-0.00000007,-0.00001206,-0.00132889,-0.06358027,-0.00029233,-0.00006202,0.20907070,-0.00067263,0.23418750,0.49982220,-0.02735407,0.17065620,-0.02715359,-0.00007624,-0.00000116,-0.02525282,-0.73274541,0.00625872},weights=[0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000;0.01148210,0.02394460,0.03269602,0.04737446,0.04980696,0.03527141,-0.01759291,-0.07528974,-0.00083422,-0.03597534,0.11129925,0.05073337,0.04893982,0.08150365;0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000;0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000;-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000;-0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,0.00000000;0.01515650,0.04878670,0.05150823,0.06884916,0.08002514,-0.04919670,-0.08695026,-0.08965225,-0.00541104,-0.03111144,-0.06747811,0.02595856,0.01372857,0.04122690;-0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000;-0.04535032,0.00498473,0.02044221,0.01351460,0.01960177,-0.16836794,-0.15731904,-0.11525007,-0.19605175,-0.02404964,-0.28225809,-0.06302790,-0.07704613,-0.02766303;0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000;-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000;-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000,-0.00000000,0.00000000;0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000;-0.01270886,-0.02601493,-0.02534346,-0.02927498,-0.03594387,0.01970444,0.02857363,0.01998473,0.07175292,0.04983358,0.21977326,0.07192747,0.08172151,0.06045971;-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000;0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000;0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000;0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000;-0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000;0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000;0.02022521,-0.00494087,-0.03298891,-0.08079954,-0.12769963,-0.03970061,-0.04870627,-0.08014055,-0.03758072,0.01726430,-0.01789061,-0.03645414,-0.02007496,-0.01944990;0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000;-0.04019403,0.01207309,0.02828477,-0.00631922,-0.04793349,-0.14113855,-0.09849922,-0.05588385,-0.30489972,-0.00035877,0.23892163,0.11477421,0.12122019,0.18259160;-0.00096706,0.00506048,0.00505329,0.00487248,0.02331740,0.01282553,0.01576681,0.01200896,-0.00388218,-0.02317935,-0.19768406,-0.14873609,-0.11727488,-0.16773771;0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,0.00000000;-0.00181524,0.00101943,0.00604395,0.01458251,0.01517012,0.03147725,-0.00111446,-0.04127125,0.02333362,-0.01939497,0.10737097,0.04166425,0.04179076,0.05422665;0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000;-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000;0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000;0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,-0.00000000;0.10835370,-0.06687686,-0.08516762,0.00163639,-0.01949299,0.27197844,0.22464167,0.15060697,0.49622747,0.03319209,0.79951191,0.15807885,0.01158971,0.06415213;-0.00899850,-0.00043999,0.05325294,0.11440736,0.16661036,0.04696987,0.07134484,0.05588490,0.12287147,-0.13335720,-0.04430202,-0.07544848,-0.03252205,-0.03692830],NeuronActivation_Function=ActivationFunction,numInputs=14,numNeurons=32,scale=true,max={12.00000000,12.00000000,12.00000000,12.00000000,12.00000000,2.00000000,2.00000000,2.00000000,2.00000000,2.00000000,11.79242300,11.78412200,11.77998500,11.79961200},min={8.00000000,8.00000000,8.00000000,8.00000000,8.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,3.69310190,3.69310190,3.69310190,3.69634820},standardization=false,mean={0.0},std={1.0});
   Neural_Network.Layer.Dense_Hidden_Layer Layer_2(bias={-0.01915434,0.54542047,0.38827929,0.43106887,0.27880254,-0.02492376,0.51309705,-0.00801731,-0.03952867,-0.14912339,-0.01643608,0.15713434,0.52502894,0.03786519,-0.05118470,-0.02619821,0.09674487,0.59679657,0.48414156,0.42411724,0.39085755,0.43997148,-0.00006288,0.39918363,-0.02014719,0.27829495,0.46513379,0.40009546,0.07611608,0.02437924,-0.03650025,0.42580885},weights=[0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000;0.00000000,0.02033915,-0.00000000,-0.00000000,0.00000000,-0.00000000,-0.02677462,-0.00000000,-0.03843058,-0.00000000,0.00000000,-0.00000000,0.00000000,0.03960535,-0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,0.01462730,-0.00000000,0.10641428,0.05693106,0.00000000,0.01441677,-0.00000000,0.00000000,-0.00000000,0.00000000,0.09148402,0.02076523;0.00000000,0.01831713,-0.00000000,0.00000000,-0.00000000,0.00000000,-0.02421064,0.00000000,-0.03492328,0.00000000,-0.00000000,-0.00000000,-0.00000000,0.03554850,0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,0.01321609,-0.00000000,0.09643669,0.05172635,-0.00000000,0.01268163,-0.00000000,-0.00000000,0.00000000,-0.00000000,0.08272880,0.01901596;0.00000000,0.01476185,-0.00000000,0.00000000,-0.00000000,0.00000000,-0.01950085,0.00000000,-0.02851804,0.00000000,-0.00000000,-0.00000000,-0.00000000,0.02866575,-0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000,0.00000000,0.01060588,-0.00000000,0.07862175,0.04218091,-0.00000000,0.00975204,0.00000000,-0.00000000,0.00000000,0.00000000,0.06712793,0.01580628;-0.00000000,-0.04358716,0.00000000,-0.00000000,0.00000000,0.00000000,0.09172313,0.00000000,0.22089690,-0.00000000,-0.00000000,-0.00000000,0.00000000,-0.14887220,-0.00000003,-0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,-0.05732058,0.00000000,0.00165331,-0.06901682,0.00000000,-0.06475877,0.00000000,0.00000000,0.00000000,0.00000000,-0.60638016,-0.18798055;-0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,-0.00000000;0.00000000,0.02231461,0.00000000,0.00000000,-0.00000000,0.00000000,-0.02932483,-0.00000000,-0.04189985,0.00000000,0.00000000,0.00000000,0.00000000,0.04353061,0.00000000,0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,0.01604093,-0.00000000,0.11601456,0.06209017,0.00000000,0.01615614,0.00000000,0.00000000,0.00000000,-0.00000000,0.10000756,0.02251084;0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000,-0.00000000,0.00000000;-0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,0.00000000;0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000;-0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000,0.00000000,0.00000000,0.00000000,-0.00000000,0.00000000,-0.00000000,-0.00000000,-0.00000000,0.00000000,0.00000000,-0.00000000,-0.00000000,0.00000000,-0.00000000;0.00000000,-0.13386822,-0.00000000,-0.00000000,-0.00000000,0.00000000,0.01033292,-0.00000000,-0.08326538,-0.00000000,-0.00000000,-0.00000000,0.00000000,-0.06589526,-0.00000021,-0.00000000,-0.00000000,0.00000000,0.00000000,-0.00000000,-0.10168553,-0.00000000,-0.24509241,0.05432525,-0.00000000,-0.08383916,-0.00000000,0.00000000,-0.00000000,0.00000000,-0.31760672,0.01381478;0.00000000,0.01656600,-0.00000000,-0.00000000,0.00000000,0.00000000,-0.02186172,0.00000000,-0.03173976,-0.00000000,0.00000000,0.00000000,0.00000000,0.03218666,-0.00000000,0.00000000,-0.00000000,-0.00000000,0.00000000,0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   Neural_Network.Layer.Output_Hidden_Layer Layer_3(bias={0.38119549},weights=[-0.20471907,1.43495905,1.30388153,1.06038094,-8.76593208,-0.32832265,1.56641781,-0.32070431,-0.15100922,-0.84189320,-0.05972841,-17.17411995,1.18185210,-2.50973272,-0.14151685,-0.11161833,-5.19643021,1.89217937,1.26354647,1.40430164,1.09998930,1.35513151,-0.31533393,1.05400574,-0.14657310,-7.38095713,0.95071983,0.99007541,-9.05296898,-9.84933472,-0.33525518,0.76771533],numInputs=32,numNeurons=1,rescale=false,max={1.0},min={0.0},destandardization=false,mean={0.0},std={1.0});
- extends Modelica.Blocks.Interfaces.MIMO(final nin=14,final nout=1);
+  extends Modelica.Blocks.Interfaces.MIMO(final nin=14,final nout=1);
 equation
   connect(u,Layer_1.u);
   connect(Layer_1.y,Layer_2.u);
diff --git a/Example_Models/NARX_PCA/Model/NARX_PCA.mo b/Example_Models/NARX_PCA/Model/NARX_PCA.mo
new file mode 100644
index 0000000..f8d15ba
--- /dev/null
+++ b/Example_Models/NARX_PCA/Model/NARX_PCA.mo
@@ -0,0 +1,29 @@
+model NARX_PCA
+  Modelica.Blocks.Sources.TimeTable timeTable_u(table = [0.00000000, 0.04534702; 0.01000000, 0.04534702; 0.02000000, 0.04534702; 0.03000000, 0.04534702; 0.04000000, 0.04534702; 0.05000000, 0.04534702; 0.06000000, 0.04534702; 0.07000000, 0.04534702; 0.08000000, 0.04534702; 0.09000000, 0.04534702; 0.10000000, 0.04534702; 0.11000000, 0.04534702; 0.12000000, 0.04534702; 0.13000000, 0.04534702; 0.14000000, 0.04534702; 0.15000000, 0.04534702; 0.16000000, 0.04534702; 0.17000000, 0.04534702; 0.18000000, 0.04534702; 0.19000000, 0.04534702; 0.20000000, 2.91664325; 0.21000000, 2.91664325; 0.22000000, 2.91664325; 0.23000000, 2.91664325; 0.24000000, 2.91664325; 0.25000000, 2.91664325; 0.26000000, 2.91664325; 0.27000000, 2.91664325; 0.28000000, 2.91664325; 0.29000000, 2.91664325; 0.30000000, 2.91664325; 0.31000000, 2.91664325; 0.32000000, 2.91664325; 0.33000000, 2.91664325; 0.34000000, 2.91664325; 0.35000000, 2.91664325; 0.36000000, 2.91664325; 0.37000000, 2.91664325; 0.38000000, 2.91664325; 0.39000000, 2.91664325; 0.40000000, 2.91664325; 0.41000000, 2.91664325; 0.42000000, 2.91664325; 0.43000000, 2.91664325; 0.44000000, 2.91664325; 0.45000000, 2.91664325; 0.46000000, 2.91664325; 0.47000000, 2.91664325; 0.48000000, 2.91664325; 0.49000000, 2.91664325; 0.50000000, 2.91664325; 0.51000000, 2.91664325; 0.52000000, 2.91664325; 0.53000000, 2.91664325; 0.54000000, 2.91664325; 0.55000000, 2.91664325; 0.56000000, 2.91664325; 0.57000000, 2.91664325; 0.58000000, 2.91664325; 0.59000000, 2.91664325; 0.60000000, 2.91664325; 0.61000000, 2.91664325; 0.62000000, 2.91664325; 0.63000000, 2.91664325; 0.64000000, 2.91664325; 0.65000000, 2.91664325; 0.66000000, 2.91664325; 0.67000000, 2.91664325; 0.68000000, 2.91664325; 0.69000000, 2.91664325; 0.70000000, 2.91664325; 0.71000000, 2.91664325; 0.72000000, 2.91664325; 0.73000000, 2.91664325; 0.74000000, 2.91664325; 0.75000000, 2.91664325; 0.76000000, 2.91664325; 0.77000000, 2.91664325; 0.78000000, 2.91664325; 0.79000000, 2.91664325; 0.80000000, 2.91664325; 0.81000000, 2.91664325; 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+    Placement(visible = true, transformation(origin = {-86, 60}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
+  Modelica.Blocks.Sources.TimeTable timeTable_y(table = [0.00000000, 1.30444486; 0.01000000, 1.28774432; 0.02000000, 1.27073875; 0.03000000, 1.25344011; 0.04000000, 1.23585990; 0.05000000, 1.21800918; 0.06000000, 1.19989856; 0.07000000, 1.18153826; 0.08000000, 1.16293806; 0.09000000, 1.14410740; 0.10000000, 1.12505532; 0.11000000, 1.10579052; 0.12000000, 1.08632136; 0.13000000, 1.06665586; 0.14000000, 1.04680175; 0.15000000, 1.02676643; 0.16000000, 1.00655703; 0.17000000, 0.98618039; 0.18000000, 0.96564310; 0.19000000, 0.94495147; 0.20000000, 0.92411158; 0.21000000, 0.90541612; 0.22000000, 0.89109677; 0.23000000, 0.88105573; 0.24000000, 0.87517843; 0.25000000, 0.87333332; 0.26000000, 0.87537230; 0.27000000, 0.88113201; 0.28000000, 0.89043549; 0.29000000, 0.90309447; 0.30000000, 0.91891189; 0.31000000, 0.93768459; 0.32000000, 0.95920603; 0.33000000, 0.98326883; 0.34000000, 1.00966712; 0.35000000, 1.03819862; 0.36000000, 1.06866630; 0.37000000, 1.10087987; 0.38000000, 1.13465680; 0.39000000, 1.16982312; 0.40000000, 1.20621395; 0.41000000, 1.24367380; 0.42000000, 1.28205668; 0.43000000, 1.32122604; 0.44000000, 1.36105467; 0.45000000, 1.40142439; 0.46000000, 1.44222573; 0.47000000, 1.48335763; 0.48000000, 1.52472694; 0.49000000, 1.56624812; 0.50000000, 1.60784270; 0.51000000, 1.64943894; 0.52000000, 1.69097138; 0.53000000, 1.73238043; 0.54000000, 1.77361198; 0.55000000, 1.81461705; 0.56000000, 1.85535138; 0.57000000, 1.89577515; 0.58000000, 1.93585260; 0.59000000, 1.97555179; 0.60000000, 2.01484426; 0.61000000, 2.05370479; 0.62000000, 2.09211116; 0.63000000, 2.13004391; 0.64000000, 2.16748611; 0.65000000, 2.20442318; 0.66000000, 2.24084270; 0.67000000, 2.27673421; 0.68000000, 2.31208908; 0.69000000, 2.34690035; 0.70000000, 2.38116259; 0.71000000, 2.41487176; 0.72000000, 2.44802509; 0.73000000, 2.48062101; 0.74000000, 2.51265898; 0.75000000, 2.54413946; 0.76000000, 2.57506375; 0.77000000, 2.60543401; 0.78000000, 2.63525306; 0.79000000, 2.66452442; 0.80000000, 2.69325218; 0.81000000, 2.72144096; 0.82000000, 2.74909587; 0.83000000, 2.77622241; 0.84000000, 2.80282649; 0.85000000, 2.82891435; 0.86000000, 2.85449249; 0.87000000, 2.87956771; 0.88000000, 2.90414699; 0.89000000, 2.92823754; 0.90000000, 2.95184670; 0.91000000, 2.97498197; 0.92000000, 2.99765093; 0.93000000, 3.01930283; 0.94000000, 3.03942176; 0.95000000, 3.05806599; 0.96000000, 3.07529167; 0.97000000, 3.09115289; 0.98000000, 3.10570176; 0.99000000, 3.11898846; 1.00000000, 3.13106136; 1.01000000, 3.14196699; 1.02000000, 3.15175022; 1.03000000, 3.16045422; 1.04000000, 3.16812058; 1.05000000, 3.17478934; 1.06000000, 3.18049908; 1.07000000, 3.18528691; 1.08000000, 3.18918860; 1.09000000, 3.19223857; 1.10000000, 3.19446997; 1.11000000, 3.19591470; 1.12000000, 3.19660351; 1.13000000, 3.19656596; 1.14000000, 3.19583055; 1.15000000, 3.19442470; 1.16000000, 3.19237481; 1.17000000, 3.18970630; 1.18000000, 3.18644365; 1.19000000, 3.18261043; 1.20000000, 3.17822931; 1.21000000, 3.17332216; 1.22000000, 3.16790999; 1.23000000, 3.16201306; 1.24000000, 3.15565087; 1.25000000, 3.14884220; 1.26000000, 3.14160513; 1.27000000, 3.13395706; 1.28000000, 3.12591475; 1.29000000, 3.11749436; 1.30000000, 3.10871143; 1.31000000, 3.09958093; 1.32000000, 3.09011729; 1.33000000, 3.08033438; 1.34000000, 3.07024559; 1.35000000, 3.05986380; 1.36000000, 3.04920143; 1.37000000, 3.03827043; 1.38000000, 3.02708231; 1.39000000, 3.01564819; 1.40000000, 3.00397874; 1.41000000, 2.99208427; 1.42000000, 2.97997472; 1.43000000, 2.96765965; 1.44000000, 2.95514827; 1.45000000, 2.94244949; 1.46000000, 2.92957187; 1.47000000, 2.91652366; 1.48000000, 2.90331284; 1.49000000, 2.88994708; 1.50000000, 2.87643379; 1.51000000, 2.86278011; 1.52000000, 2.84899293; 1.53000000, 2.83507890; 1.54000000, 2.82104444; 1.55000000, 2.80751963; 1.56000000, 2.79510549; 1.57000000, 2.78376530; 1.58000000, 2.77346327; 1.59000000, 2.76416446; 1.60000000, 2.75583477; 1.61000000, 2.74844094; 1.62000000, 2.74195049; 1.63000000, 2.73633174; 1.64000000, 2.73155373; 1.65000000, 2.72758626; 1.66000000, 2.72439987; 1.67000000, 2.72196577; 1.68000000, 2.72025589; 1.69000000, 2.71924283; 1.70000000, 2.71889986; 1.71000000, 2.71876816; 1.72000000, 2.71841246; 1.73000000, 2.71784164; 1.74000000, 2.71706428; 1.75000000, 2.71608871; 1.76000000, 2.71492294; 1.77000000, 2.71357476; 1.78000000, 2.71205168; 1.79000000, 2.71036097; 1.80000000, 2.70850966; 1.81000000, 2.70650455; 1.82000000, 2.70435221; 1.83000000, 2.70205900; 1.84000000, 2.69963107; 1.85000000, 2.69707436; 1.86000000, 2.69412947; 1.87000000, 2.69055037; 1.88000000, 2.68636220; 1.89000000, 2.68158918; 1.90000000, 2.67625462; 1.91000000, 2.67038096; 1.92000000, 2.66398980; 1.93000000, 2.65710195; 1.94000000, 2.64973744; 1.95000000, 2.64191554; 1.96000000, 2.63365483; 1.97000000, 2.62497320; 1.98000000, 2.61588785; 1.99000000, 2.60641537; 2.00000000, 2.59657173; 2.01000000, 2.58637231; 2.02000000, 2.57583193; 2.03000000, 2.56496485; 2.04000000, 2.55378482; 2.05000000, 2.54230507; 2.06000000, 2.53053837; 2.07000000, 2.51849701; 2.08000000, 2.50619283; 2.09000000, 2.49363724; 2.10000000, 2.48084125; 2.11000000, 2.46781545; 2.12000000, 2.45457007; 2.13000000, 2.44111496; 2.14000000, 2.42745962; 2.15000000, 2.41361321; 2.16000000, 2.39958456; 2.17000000, 2.38538221; 2.18000000, 2.37101436; 2.19000000, 2.35648895; 2.20000000, 2.34181365; 2.21000000, 2.32699583; 2.22000000, 2.31204263; 2.23000000, 2.29696095; 2.24000000, 2.28285629; 2.25000000, 2.27078491; 2.26000000, 2.26068004; 2.27000000, 2.25247554; 2.28000000, 2.24610586; 2.29000000, 2.24150608; 2.30000000, 2.23861189; 2.31000000, 2.23735962; 2.32000000, 2.23768629; 2.33000000, 2.23952961; 2.34000000, 2.24282808; 2.35000000, 2.24752097; 2.36000000, 2.25318598; 2.37000000, 2.25942234; 2.38000000, 2.26620281; 2.39000000, 2.27350082; 2.40000000, 2.28129048; 2.41000000, 2.28954658; 2.42000000, 2.29824458; 2.43000000, 2.30736063; 2.44000000, 2.31687153; 2.45000000, 2.32675477; 2.46000000, 2.33698852; 2.47000000, 2.34755158; 2.48000000, 2.35842344; 2.49000000, 2.36958423; 2.50000000, 2.38101472; 2.51000000, 2.39269634; 2.52000000, 2.40461113; 2.53000000, 2.41674177; 2.54000000, 2.42907154; 2.55000000, 2.44158434; 2.56000000, 2.45426465; 2.57000000, 2.46709754; 2.58000000, 2.48006865; 2.59000000, 2.49316418; 2.60000000, 2.50637089; 2.61000000, 2.51967606; 2.62000000, 2.53306750; 2.63000000, 2.54653354; 2.64000000, 2.56006301; 2.65000000, 2.57364521; 2.66000000, 2.58726993; 2.67000000, 2.60092742; 2.68000000, 2.61460837; 2.69000000, 2.62830390; 2.70000000, 2.64200558; 2.71000000, 2.65570536; 2.72000000, 2.66939560; 2.73000000, 2.68306903; 2.74000000, 2.69671878; 2.75000000, 2.71033832; 2.76000000, 2.72392147; 2.77000000, 2.73746237; 2.78000000, 2.75095552; 2.79000000, 2.76439570; 2.80000000, 2.77777800; 2.81000000, 2.79109781; 2.82000000, 2.80435079; 2.83000000, 2.81753286; 2.84000000, 2.83064021; 2.85000000, 2.84366927; 2.86000000, 2.85661672; 2.87000000, 2.86947946; 2.88000000, 2.88225461; 2.89000000, 2.89493950; 2.90000000, 2.90753165; 2.91000000, 2.92002879; 2.92000000, 2.93242883; 2.93000000, 2.94472986; 2.94000000, 2.95693012; 2.95000000, 2.96902803; 2.96000000, 2.98102215; 2.97000000, 2.99291120; 2.98000000, 3.00469403; 2.99000000, 3.01636963; 3.00000000, 3.02793711; 3.01000000, 3.03939571; 3.02000000, 3.05074477; 3.03000000, 3.06198374; 3.04000000, 3.07311220; 3.05000000, 3.08412981; 3.06000000, 3.09503630; 3.07000000, 3.10583153; 3.08000000, 3.11651541; 3.09000000, 3.12708796; 3.10000000, 3.13754924; 3.11000000, 3.14789942; 3.12000000, 3.15813869; 3.13000000, 3.16826735; 3.14000000, 3.17828572; 3.15000000, 3.18819420; 3.16000000, 3.19799324; 3.17000000, 3.20768331; 3.18000000, 3.21726498; 3.19000000, 3.22673881; 3.20000000, 3.23610542; 3.21000000, 3.24536548; 3.22000000, 3.25451968; 3.23000000, 3.26356875; 3.24000000, 3.27251343; 3.25000000, 3.28135451; 3.26000000, 3.29009281; 3.27000000, 3.29872914; 3.28000000, 3.30726437; 3.29000000, 3.31569937; 3.30000000, 3.32403502; 3.31000000, 3.33227224; 3.32000000, 3.34041193; 3.33000000, 3.34845505; 3.34000000, 3.35695768; 3.35000000, 3.36644470; 3.36000000, 3.37687110; 3.37000000, 3.38819302; 3.38000000, 3.40036779; 3.39000000, 3.41335388; 3.40000000, 3.42711092; 3.41000000, 3.44159970; 3.42000000, 3.45678212; 3.43000000, 3.47262123; 3.44000000, 3.48908118; 3.45000000, 3.50612725; 3.46000000, 3.52372579; 3.47000000, 3.54184426; 3.48000000, 3.56045115; 3.49000000, 3.57951604; 3.50000000, 3.59900953; 3.51000000, 3.61890323; 3.52000000, 3.63916977; 3.53000000, 3.65978277; 3.54000000, 3.68071681; 3.55000000, 3.70194740; 3.56000000, 3.72345101; 3.57000000, 3.74520499; 3.58000000, 3.76718761; 3.59000000, 3.78937798; 3.60000000, 3.81175606; 3.61000000, 3.83430265; 3.62000000, 3.85699934; 3.63000000, 3.87982850; 3.64000000, 3.90277327; 3.65000000, 3.92581754; 3.66000000, 3.94894589; 3.67000000, 3.97214363; 3.68000000, 3.99539671; 3.69000000, 4.01869176; 3.70000000, 4.04201604; 3.71000000, 4.06535742; 3.72000000, 4.08870437; 3.73000000, 4.11204592; 3.74000000, 4.13537166; 3.75000000, 4.15867174; 3.76000000, 4.18193678; 3.77000000, 4.20515794; 3.78000000, 4.22832683; 3.79000000, 4.25143553; 3.80000000, 4.27447659; 3.81000000, 4.29744294; 3.82000000, 4.32032795; 3.83000000, 4.34312539; 3.84000000, 4.36582941; 3.85000000, 4.38843449; 3.86000000, 4.41093551; 3.87000000, 4.43332764; 3.88000000, 4.45560640; 3.89000000, 4.47776761; 3.90000000, 4.49980739; 3.91000000, 4.52172211; 3.92000000, 4.54350847; 3.93000000, 4.56516336; 3.94000000, 4.58668397; 3.95000000, 4.60806770; 3.96000000, 4.62931218; 3.97000000, 4.65041525; 3.98000000, 4.67137495; 3.99000000, 4.69218954; 4.00000000, 4.71285743; 4.01000000, 4.73337723; 4.02000000, 4.75374771; 4.03000000, 4.77396780; 4.04000000, 4.79403659; 4.05000000, 4.81395329; 4.06000000, 4.83371728; 4.07000000, 4.85332804; 4.08000000, 4.87278518; 4.09000000, 4.89208845; 4.10000000, 4.91123767; 4.11000000, 4.93023280; 4.12000000, 4.94907387; 4.13000000, 4.96776102; 4.14000000, 4.98629447; 4.15000000, 5.00397373; 4.16000000, 5.02013860; 4.17000000, 5.03484801; 4.18000000, 5.04815861; 4.19000000, 5.06012489; 4.20000000, 5.07079924; 4.21000000, 5.08023202; 4.22000000, 5.08847165; 4.23000000, 5.09556471; 4.24000000, 5.10155596; 4.25000000, 5.10648843; 4.26000000, 5.11040351; 4.27000000, 5.11334100; 4.28000000, 5.11533913; 4.29000000, 5.11643470; 4.30000000, 5.11666307; 4.31000000, 5.11605822; 4.32000000, 5.11465285; 4.33000000, 5.11247838; 4.34000000, 5.10956504; 4.35000000, 5.10594186; 4.36000000, 5.10163678; 4.37000000, 5.09667665; 4.38000000, 5.09108729; 4.39000000, 5.08489352; 4.40000000, 5.07811921; 4.41000000, 5.07078731; 4.42000000, 5.06291987; 4.43000000, 5.05453812; 4.44000000, 5.04566243; 4.45000000, 5.03631244; 4.46000000, 5.02650698; 4.47000000, 5.01626419; 4.48000000, 5.00560150; 4.49000000, 4.99453568; 4.50000000, 4.98308283; 4.51000000, 4.97125845; 4.52000000, 4.95907745; 4.53000000, 4.94655416; 4.54000000, 4.93370234; 4.55000000, 4.92053526; 4.56000000, 4.90706565; 4.57000000, 4.89330576; 4.58000000, 4.87926737; 4.59000000, 4.86496182; 4.60000000, 4.85040000; 4.61000000, 4.83559239; 4.62000000, 4.82054907; 4.63000000, 4.80527973; 4.64000000, 4.78979369; 4.65000000, 4.77409993; 4.66000000, 4.75820706; 4.67000000, 4.74212337; 4.68000000, 4.72585686; 4.69000000, 4.70941519; 4.70000000, 4.69273132; 4.71000000, 4.67574149; 4.72000000, 4.65845769; 4.73000000, 4.64089146; 4.74000000, 4.62305386; 4.75000000, 4.60495554; 4.76000000, 4.58660673; 4.77000000, 4.56801724; 4.78000000, 4.54919653; 4.79000000, 4.53015365; 4.80000000, 4.51089732; 4.81000000, 4.49143592; 4.82000000, 4.47177748; 4.83000000, 4.45192973; 4.84000000, 4.43190010; 4.85000000, 4.41169573; 4.86000000, 4.39132347; 4.87000000, 4.37078989; 4.88000000, 4.35010134; 4.89000000, 4.32926389; 4.90000000, 4.30828338; 4.91000000, 4.28716542; 4.92000000, 4.26591541; 4.93000000, 4.24453853; 4.94000000, 4.22303974; 4.95000000, 4.20142385; 4.96000000, 4.17969544; 4.97000000, 4.15785892; 4.98000000, 4.13591854; 4.99000000, 4.11387837; 5.00000000, 4.09174234; 5.01000000, 4.06951419; 5.02000000, 4.04719755; 5.03000000, 4.02479589; 5.04000000, 4.00231255; 5.05000000, 3.97975073; 5.06000000, 3.95711351; 5.07000000, 3.93440386; 5.08000000, 3.91162461; 5.09000000, 3.88877850; 5.10000000, 3.86586816; 5.11000000, 3.84289610; 5.12000000, 3.81986475; 5.13000000, 3.79677645; 5.14000000, 3.77363341; 5.15000000, 3.75043781; 5.16000000, 3.72719169; 5.17000000, 3.70389705; 5.18000000, 3.68055579; 5.19000000, 3.65716975; 5.20000000, 3.63374068; 5.21000000, 3.61027028; 5.22000000, 3.58676017; 5.23000000, 3.56321190; 5.24000000, 3.53962700; 5.25000000, 3.51600688; 5.26000000, 3.49235295; 5.27000000, 3.46866652; 5.28000000, 3.44494888; 5.29000000, 3.42120126; 5.30000000, 3.39742483; 5.31000000, 3.37362074; 5.32000000, 3.34979007; 5.33000000, 3.32593387; 5.34000000, 3.30205314; 5.35000000, 3.27814885; 5.36000000, 3.25422193; 5.37000000, 3.23027328; 5.38000000, 3.20633095; 5.39000000, 3.18242183; 5.40000000, 3.15854501; 5.41000000, 3.13469965; 5.42000000, 3.11088495; 5.43000000, 3.08710014; 5.44000000, 3.06334447; 5.45000000, 3.03961726; 5.46000000, 3.01591783; 5.47000000, 2.99224555; 5.48000000, 2.96859982; 5.49000000, 2.94498006; 5.50000000, 2.92138575; 5.51000000, 2.89781636; 5.52000000, 2.87427141; 5.53000000, 2.85075044; 5.54000000, 2.82725301; 5.55000000, 2.80377872; 5.56000000, 2.78032719; 5.57000000, 2.75689805; 5.58000000, 2.73349096; 5.59000000, 2.71010560; 5.60000000, 2.68674169; 5.61000000, 2.66339895; 5.62000000, 2.64007713; 5.63000000, 2.61677598; 5.64000000, 2.59349530; 5.65000000, 2.57023488; 5.66000000, 2.54699456; 5.67000000, 2.52377416; 5.68000000, 2.50057355; 5.69000000, 2.47739259; 5.70000000, 2.45423119; 5.71000000, 2.43108923; 5.72000000, 2.40796666; 5.73000000, 2.38486340; 5.74000000, 2.36177940; 5.75000000, 2.33871464; 5.76000000, 2.31566910; 5.77000000, 2.29264277; 5.78000000, 2.26963568; 5.79000000, 2.24664783; 5.80000000, 2.22367929; 5.81000000, 2.20073009; 5.82000000, 2.17780032; 5.83000000, 2.15489005; 5.84000000, 2.13199938; 5.85000000, 2.10912842; 5.86000000, 2.08627730; 5.87000000, 2.06344616; 5.88000000, 2.04063515; 5.89000000, 2.01784443; 5.90000000, 1.99507419; 5.91000000, 1.97232463; 5.92000000, 1.94959595; 5.93000000, 1.92688838; 5.94000000, 1.90420216; 5.95000000, 1.88153754; 5.96000000, 1.85889480; 5.97000000, 1.83627422; 5.98000000, 1.81367609; 5.99000000, 1.79110075; 6.00000000, 1.76854851; 6.01000000, 1.74601974; 6.02000000, 1.72351480; 6.03000000, 1.70103408; 6.04000000, 1.67857797; 6.05000000, 1.65614692; 6.06000000, 1.63374135; 6.07000000, 1.61136173; 6.08000000, 1.58900854; 6.09000000, 1.56668230; 6.10000000, 1.54438352; 6.11000000, 1.52211276; 6.12000000, 1.49987059; 6.13000000, 1.47765761; 6.14000000, 1.45547444; 6.15000000, 1.43332175; 6.16000000, 1.41120020; 6.17000000, 1.38911051; 6.18000000, 1.36705343; 6.19000000, 1.34502971; 6.20000000, 1.32304017; 6.21000000, 1.30108566; 6.22000000, 1.27916704; 6.23000000, 1.25728524; 6.24000000, 1.23544122; 6.25000000, 1.21363598; 6.26000000, 1.19187056; 6.27000000, 1.17014607; 6.28000000, 1.14846365; 6.29000000, 1.12682449; 6.30000000, 1.10522986; 6.31000000, 1.08368107; 6.32000000, 1.06217950; 6.33000000, 1.04072660; 6.34000000, 1.01932389; 6.35000000, 0.99957467; 6.36000000, 0.98303844; 6.37000000, 0.96964631; 6.38000000, 0.95932267; 6.39000000, 0.95198484; 6.40000000, 0.94754301; 6.41000000, 0.94590033; 6.42000000, 0.94695325; 6.43000000, 0.95059211; 6.44000000, 0.95670177; 6.45000000, 0.96516258; 6.46000000, 0.97585124; 6.47000000, 0.98864190; 6.48000000, 1.00340714; 6.49000000, 1.02001900; 6.50000000, 1.03835000; 6.51000000, 1.05827397; 6.52000000, 1.07966689; 6.53000000, 1.10240758; 6.54000000, 1.12637831; 6.55000000, 1.15146531; 6.56000000, 1.17755910; 6.57000000, 1.20455485; 6.58000000, 1.23235254; 6.59000000, 1.26085710; 6.60000000, 1.28997852; 6.61000000, 1.31963176; 6.62000000, 1.34973680; 6.63000000, 1.38021849; 6.64000000, 1.41100646; 6.65000000, 1.44203501; 6.66000000, 1.47324286; 6.67000000, 1.50457308; 6.68000000, 1.53597284; 6.69000000, 1.56739325; 6.70000000, 1.59878913; 6.71000000, 1.63011888; 6.72000000, 1.66134425; 6.73000000, 1.69243013; 6.74000000, 1.72334444; 6.75000000, 1.75405787; 6.76000000, 1.78454378; 6.77000000, 1.81477798; 6.78000000, 1.84473863; 6.79000000, 1.87440603; 6.80000000, 1.90376253; 6.81000000, 1.93279235; 6.82000000, 1.96148150; 6.83000000, 1.98987772; 6.84000000, 2.01802596; 6.85000000, 2.04591046; 6.86000000, 2.07351703; 6.87000000, 2.10083292; 6.88000000, 2.12784675; 6.89000000, 2.15454838; 6.90000000, 2.18092891; 6.91000000, 2.20698053; 6.92000000, 2.23269645; 6.93000000, 2.25807089; 6.94000000, 2.28309894; 6.95000000, 2.30777654; 6.96000000, 2.33210042; 6.97000000, 2.35606802; 6.98000000, 2.37967746; 6.99000000, 2.40292749; 7.00000000, 2.42581742; 7.01000000, 2.44834710; 7.02000000, 2.47051687; 7.03000000, 2.49232753; 7.04000000, 2.51378029; 7.05000000, 2.53487674; 7.06000000, 2.55561881; 7.07000000, 2.57600878; 7.08000000, 2.59604918; 7.09000000, 2.61574285; 7.10000000, 2.63509283; 7.11000000, 2.65410240; 7.12000000, 2.67277503; 7.13000000, 2.69111437; 7.14000000, 2.70912422; 7.15000000, 2.72680853; 7.16000000, 2.74417136; 7.17000000, 2.76121689; 7.18000000, 2.77741665; 7.19000000, 2.79227452; 7.20000000, 2.80584176; 7.21000000, 2.81816776; 7.22000000, 2.82930007; 7.23000000, 2.83928453; 7.24000000, 2.84816526; 7.25000000, 2.85598477; 7.26000000, 2.86278399; 7.27000000, 2.86860234; 7.28000000, 2.87347778; 7.29000000, 2.87744687; 7.30000000, 2.88054480; 7.31000000, 2.88280547; 7.32000000, 2.88426151; 7.33000000, 2.88494437; 7.34000000, 2.88488428; 7.35000000, 2.88411039; 7.36000000, 2.88265076; 7.37000000, 2.88053239; 7.38000000, 2.87778130; 7.39000000, 2.87442253; 7.40000000, 2.87048019; 7.41000000, 2.86597750; 7.42000000, 2.86093682; 7.43000000, 2.85537968; 7.44000000, 2.84932680; 7.45000000, 2.84279816]) annotation(
+    Placement(visible = true, transformation(origin = {-84, -52}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
+  Modelica.Blocks.Routing.Multiplex2 multiplex2(n1 = 1, n2 = 1) annotation(
+    Placement(visible = true, transformation(origin = {-42, 20}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
+  Modelica.Blocks.Routing.Replicator replicator(nout = 1) annotation(
+    Placement(visible = true, transformation(origin = {-54, 60}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
+  Neural_Network.Utilities.SamplerMIMO sampler(nin = 2, nout = 2, samplePeriod = 0.01) annotation(
+    Placement(visible = true, transformation(origin = {-6, 20}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
+  Utilities.TimeDelay timeDelay(delay = 55,nin = 2, nout = 111, numInputs = 1, numOutputs = 1, samplePeriod = 0.01, y_start = {0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.32082790, 1.33688047, 1.35258908, 1.36793968, 1.38291766, 1.39750780, 1.41169425, 1.42546055, 1.43878953, 1.45166334, 1.46406340, 1.47597037, 1.48736412, 1.49822369, 1.50852730, 1.51825223, 1.52737487, 1.53587063, 1.54371393, 1.55087814, 1.55733554, 1.56305728, 1.56801334, 1.57217246, 1.57550212, 1.57840523, 1.58130591, 1.58420247, 1.58709311, 1.58997602, 1.59284928, 1.59571094, 1.59855895, 1.60139121, 1.60420554, 1.60699969, 1.60977134, 1.61251807, 1.61523740, 1.61792678, 1.62058353, 1.62320494, 1.62578817, 1.62833031, 1.63082835, 1.63327919, 1.63567961, 1.63802632, 1.64031592, 1.64254488, 1.64470958, 1.64680629, 1.64883117, 1.65078024, 1.65264943}) annotation(
+    Placement(visible = true, transformation(origin = {26, 20}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
+  Neural_Network.Network.NARX_PCA_3_Layer nARX_PCA_3_Layer annotation(
+    Placement(visible = true, transformation(origin = {74, 20}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
+equation
+  connect(timeTable_u.y, replicator.u) annotation(
+    Line(points = {{-74, 60}, {-66, 60}}, color = {0, 0, 127}));
+  connect(replicator.y, multiplex2.u1) annotation(
+    Line(points = {{-42, 60}, {-34, 60}, {-34, 38}, {-70, 38}, {-70, 26}, {-54, 26}}, color = {0, 0, 127}, thickness = 0.5));
+  connect(multiplex2.y, sampler.u) annotation(
+    Line(points = {{-30, 20}, {-18, 20}}, color = {0, 0, 127}, thickness = 0.5));
+  connect(sampler.y, timeDelay.u) annotation(
+    Line(points = {{6, 20}, {14, 20}}, color = {0, 0, 127}, thickness = 0.5));
+  connect(timeDelay.y, nARX_PCA_3_Layer.u) annotation(
+    Line(points = {{38, 20}, {62, 20}}, color = {0, 0, 127}, thickness = 0.5));
+  connect(nARX_PCA_3_Layer.y, multiplex2.u2) annotation(
+    Line(points = {{86, 20}, {92, 20}, {92, -20}, {-70, -20}, {-70, 14}, {-54, 14}}, color = {0, 0, 127}, thickness = 0.5));
+end NARX_PCA;
diff --git a/NeuralNetwork/Example_Models/NARX_PCA/Model/init_pred.txt b/Example_Models/NARX_PCA/Model/init_pred.txt
similarity index 100%
rename from NeuralNetwork/Example_Models/NARX_PCA/Model/init_pred.txt
rename to Example_Models/NARX_PCA/Model/init_pred.txt
diff --git a/NeuralNetwork/Example_Models/NARX_PCA/Model/test_u.txt b/Example_Models/NARX_PCA/Model/test_u.txt
similarity index 100%
rename from NeuralNetwork/Example_Models/NARX_PCA/Model/test_u.txt
rename to Example_Models/NARX_PCA/Model/test_u.txt
diff --git a/NeuralNetwork/Example_Models/NARX_PCA/Model/test_y.txt b/Example_Models/NARX_PCA/Model/test_y.txt
similarity index 100%
rename from NeuralNetwork/Example_Models/NARX_PCA/Model/test_y.txt
rename to Example_Models/NARX_PCA/Model/test_y.txt
diff --git a/NeuralNetwork/Example_Models/NARX_PCA/Network/Modelica_NARX_PCA_3_Layer.mo b/Example_Models/NARX_PCA/Network/Modelica_NARX_PCA_3_Layer.mo
similarity index 99%
rename from NeuralNetwork/Example_Models/NARX_PCA/Network/Modelica_NARX_PCA_3_Layer.mo
rename to Example_Models/NARX_PCA/Network/Modelica_NARX_PCA_3_Layer.mo
index 6b984e1..3e83a07 100644
--- a/NeuralNetwork/Example_Models/NARX_PCA/Network/Modelica_NARX_PCA_3_Layer.mo
+++ b/Example_Models/NARX_PCA/Network/Modelica_NARX_PCA_3_Layer.mo
@@ -1,5 +1,5 @@
 block NARX_PCA_3_Layer
-// This Block is the result of the python export of the neural network for OpenModelica. It uses PCA and a three layers. 
+  // This Block is the result of the python export of the neural network for OpenModelica. It uses PCA and a three layers. 
   parameter Neural_Network.Activation_Function.Type_Activation_Function ActivationFunction=Neural_Network.Activation_Function.ReLu;
   Neural_Network.Layer.Input_Hidden_Layer 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diff --git a/NeuralNetwork/Example_Models/Simple_Network/Model/Feedforward_Network.mo b/Example_Models/Simple_Network/Model/Feedforward_Network.mo
similarity index 89%
rename from NeuralNetwork/Example_Models/Simple_Network/Model/Feedforward_Network.mo
rename to Example_Models/Simple_Network/Model/Feedforward_Network.mo
index 5b681b2..be5c624 100644
--- a/NeuralNetwork/Example_Models/Simple_Network/Model/Feedforward_Network.mo
+++ b/Example_Models/Simple_Network/Model/Feedforward_Network.mo
@@ -5,14 +5,13 @@ model Feedforward_Network "Simulation of the simple network to demonstrate how t
     Placement(visible = true, transformation(origin = {-70, 50}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
   Modelica.Blocks.Sources.Constant const(k = 5) annotation(
     Placement(visible = true, transformation(origin = {-70, -50}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
-Network.Tree_Layer_Neural_Network tree_Layer_Neural_Network annotation(
+  Network.Tree_Layer_Neural_Network tree_Layer_Neural_Network annotation(
     Placement(visible = true, transformation(origin = {34, 0}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
 equation
   connect(ramp.y, mux.u[1]) annotation(
     Line(points = {{-58, 50}, {-40, 50}, {-40, 0}, {-18, 0}}, color = {0, 0, 127}));
   connect(const.y, mux.u[2]) annotation(
     Line(points = {{-58, -50}, {-40, -50}, {-40, 0}, {-18, 0}}, color = {0, 0, 127}));
-connect(mux.y, tree_Layer_Neural_Network.u) annotation(
+  connect(mux.y, tree_Layer_Neural_Network.u) annotation(
     Line(points = {{4, 0}, {22, 0}}, color = {0, 0, 127}, thickness = 0.5));
-protected
 end Feedforward_Network;
diff --git a/Example_Models/Simple_Network/Network/Tree_Layer_Neural_Network.mo b/Example_Models/Simple_Network/Network/Tree_Layer_Neural_Network.mo
new file mode 100644
index 0000000..c5c1f9b
--- /dev/null
+++ b/Example_Models/Simple_Network/Network/Tree_Layer_Neural_Network.mo
@@ -0,0 +1,44 @@
+block Tree_Layer_Neural_Network "This block models a very simple three layer Neural Network and should demonstrate the usage of the library"
+  // Parameter of Input Layer
+  parameter Real FirstLayer_bias[3] = {0, 0, 0} "Bias vector of the first layer";
+	parameter Real FirstLayer_weights[3, 2] = [1, 0; 0, 1; 0, 0] "Weight matrix of the first layer";
+  parameter Integer FirstLayer_numInputs = 2 "Specification of the input dimension of the neural network";
+  parameter Integer FirstLayer_numNeurons = 3 "Number of neurons in the first layer";
+  parameter Boolean FirstLayer_pca = false "Reducing the feature space based on a PCA";
+  parameter Boolean FirstLayer_scale = false "Scale the inputs with min-max normalization";
+  parameter Boolean FirstLayer_standardization = false "Scale the inputs with mu-sigma standardization";
+
+  // Parameter of First Hidden Layer
+  parameter Real SecondLayer_bias[4] = {0, 0, 0, 0} "Bias vector of the second layer";
+  parameter Real SecondLayer_weights[4, 3] = [1, 0, 0; 0, 1, 0; 0, 0, 0; 0, 0, 0] "Weight matrix of the second layer";
+  parameter Integer SecondLayer_numInputs = FirstLayer_numNeurons "Specification of the inputs of the second layer";
+  parameter Integer SecondLayer_numNeurons = 4 "Number of neurons in the second layer";
+  // Set the Activation Function
+
+  parameter Neural_Network.Activation_Function.Type_Activation_Function ActivationFunction = Neural_Network.Activation_Function.ReLu "Activation function of the Input and Hidden layers";
+
+  // Parameter of Output Layer
+  parameter Real ThirdLayer_bias[1] = {0} "Bias vector of the third layer";
+  parameter Real ThirdLayer_weights[1, 4] = [1, 1, 0, 0] "Weight matrix of the third layer";
+  parameter Integer ThirdLayer_numInputs = SecondLayer_numNeurons "Specification of the inputs of the third layer";
+  parameter Integer ThirdLayer_numNeurons = 1 "Number of neurons in the third layer";
+  parameter Boolean ThirdLayer_rescale = true "Rescale the outputs with min-max denormalization";
+  parameter Real ThirdLayer_max[1] = {5.0} "Maximum of the training targets";
+  parameter Real ThirdLayer_min[1] = {0.0} "Minimum of the training targets";
+  parameter Boolean ThirdLayer_destandardization = false "Destandardization of the outputs with mu-sigma";
+  parameter Real ThirdLayer_mean[1] = {0.0} "Default value";
+  parameter Real ThirdLayer_std[1] = {1.0} "Default value";
+
+  // Initilize the Layers of the neural network with the parameter that were defined above
+  Neural_Network.Layer.Input_Hidden_Layer First_Layer(bias = FirstLayer_bias, weights = FirstLayer_weights, NeuronActivation_Function = ActivationFunction, numInputs = FirstLayer_numInputs, numNeurons = FirstLayer_numNeurons, pca = FirstLayer_pca, scale = FirstLayer_scale, max = {1.0}, min = {0.0}, standardization = FirstLayer_standardization, mean = {0.0}, std = {1.0});
+  Neural_Network.Layer.Dense_Hidden_Layer Second_Layer(bias = SecondLayer_bias, weights = SecondLayer_weights, NeuronActivation_Function = ActivationFunction, numInputs = SecondLayer_numInputs, numNeurons = SecondLayer_numNeurons);
+  Neural_Network.Layer.Output_Hidden_Layer Third_Layer(bias = ThirdLayer_bias, weights = ThirdLayer_weights, numInputs = ThirdLayer_numInputs, numNeurons = ThirdLayer_numNeurons, rescale = ThirdLayer_rescale, max = ThirdLayer_max, min = ThirdLayer_min, destandardization = ThirdLayer_destandardization, mean = ThirdLayer_mean, std = ThirdLayer_std);
+
+  // Treat Neural Network as multiple Input - multiple Output Block
+  extends Modelica.Blocks.Interfaces.MIMO(final nin = FirstLayer_numInputs, final nout = ThirdLayer_numNeurons);
+equation
+  connect(u, First_Layer.u);
+  connect(First_Layer.y, Second_Layer.u);
+  connect(Second_Layer.y, Third_Layer.u);
+  connect(Third_Layer.y, y);
+end Tree_Layer_Neural_Network;
diff --git a/NeuralNetwork/Activation_Function/Type_Activation_Function.mo b/NeuralNetwork/Activation_Function/Type_Activation_Function.mo
new file mode 100644
index 0000000..25df1ee
--- /dev/null
+++ b/NeuralNetwork/Activation_Function/Type_Activation_Function.mo
@@ -0,0 +1,10 @@
+within NeuralNetwork.Activation_Function;
+
+type Type_Activation_Function "Temporary type of ActivationFunction with choices for menus (until enumerations are available)"
+  extends Integer;
+  annotation(
+    choices(
+      choice = NeuralNetwork.ActivationFunction.Type_Activation_Function.ReLu "ReLu activation function",
+      choice = NeuralNetwork.ActivationFunction.Type_Activation_Function.Sigmoid "Sigmoid activation function",
+      choise = NeuralNetwork.ActivationFunction.Type_Activation_Function.Hyperbolic_tangent "Tanh activation function"));
+end Type_Activation_Function;
diff --git a/NeuralNetwork/Activation_Function/package.mo b/NeuralNetwork/Activation_Function/package.mo
new file mode 100644
index 0000000..a8bd6b8
--- /dev/null
+++ b/NeuralNetwork/Activation_Function/package.mo
@@ -0,0 +1,7 @@
+within NeuralNetwork;
+
+package Activation_Function
+  constant Integer ReLu = 0;
+  constant Integer Sigmoid = 1;
+  constant Integer Hyperbolic_tangent = 2;
+end Activation_Function;
diff --git a/NeuralNetwork/Activation_Function/package.order b/NeuralNetwork/Activation_Function/package.order
new file mode 100644
index 0000000..3780bfa
--- /dev/null
+++ b/NeuralNetwork/Activation_Function/package.order
@@ -0,0 +1,4 @@
+ReLu
+Sigmoid
+Hyperbolic_tangent
+Type_Activation_Function
diff --git a/NeuralNetwork/Example_Models/NARX_MISO/Model/NARX_MISO.mo b/NeuralNetwork/Example_Models/NARX_MISO/Model/NARX_MISO.mo
deleted file mode 100644
index db81f6b..0000000
--- a/NeuralNetwork/Example_Models/NARX_MISO/Model/NARX_MISO.mo
+++ /dev/null
@@ -1,39 +0,0 @@
-model
-NARX_MISO
-    // Application of the MISO NARX-Neural Network that was created in Python and exported to OpenModelica. It is importent to model the estimated time lags.
-    Neural_Network.Utilities.TimeDelay timeDelay(delay = 4, nin = 3, nout = 14, numInputs = 2, numOutputs = 1, samplePeriod = 10, y_start = {10.89064200, 11.93020100, 9.46135470, 11.02564200, 8.87583670, 1.00000000, 1.00000000, 1.00000000, 1.00000000, 1.00000000, 10.95541600, 10.89493000, 10.83935000, 6.91290870}) annotation(
-      Placement(visible = true, transformation(origin = {50, 30}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
-    Modelica.Blocks.Sources.TimeTable timeTable_y(table = [0.00000000, 10.96989000; 10.00000000, 10.98481300; 20.00000000, 10.99991500; 30.00000000, 11.01624200; 40.00000000, 11.02986000; 50.00000000, 11.04274700; 60.00000000, 11.07037400; 70.00000000, 11.07719000; 80.00000000, 11.09499900; 90.00000000, 11.11799100; 100.00000000, 11.13570800; 110.00000000, 11.15447000; 120.00000000, 11.14974300; 130.00000000, 11.13681100; 140.00000000, 11.14483100; 150.00000000, 11.15262500; 160.00000000, 11.15818700; 170.00000000, 11.16584900; 180.00000000, 11.15498700; 190.00000000, 11.14579800; 200.00000000, 11.16485500; 210.00000000, 11.17683500; 220.00000000, 11.05917800; 230.00000000, 10.89493600; 240.00000000, 10.61499300; 250.00000000, 9.83171040; 260.00000000, 6.00605160; 270.00000000, 5.62466230; 280.00000000, 5.40523860; 290.00000000, 5.24967910; 300.00000000, 5.11683850; 310.00000000, 5.02158460; 320.00000000, 4.94281880; 330.00000000, 4.85275750; 340.00000000, 4.77398730; 350.00000000, 4.70344430; 360.00000000, 4.63440890; 370.00000000, 4.56664700; 380.00000000, 4.51319900; 390.00000000, 4.46079100; 400.00000000, 4.41068460; 410.00000000, 4.36280420; 420.00000000, 4.31692130; 430.00000000, 4.27297520; 440.00000000, 4.23089310; 450.00000000, 4.19051930; 460.00000000, 4.15251140; 470.00000000, 4.61637610; 480.00000000, 5.01807170; 490.00000000, 5.53889850; 500.00000000, 10.24042500; 510.00000000, 10.86452600; 520.00000000, 11.09112000; 530.00000000, 11.22622800; 540.00000000, 11.31971200; 550.00000000, 11.38933500; 560.00000000, 11.44359700; 570.00000000, 11.48717900; 580.00000000, 11.52290000; 590.00000000, 11.55268500; 600.00000000, 11.57781000; 610.00000000, 11.59922400; 620.00000000, 11.61761400; 630.00000000, 11.63352000; 640.00000000, 11.64734400; 650.00000000, 11.65939700; 660.00000000, 11.66995000; 670.00000000, 11.67185200; 680.00000000, 11.68091300; 690.00000000, 11.69747400; 700.00000000, 11.71143100; 710.00000000, 11.70714300; 720.00000000, 11.63178700; 730.00000000, 11.56676000; 740.00000000, 11.48116900; 750.00000000, 11.38007300; 760.00000000, 11.28674300; 770.00000000, 11.17064200; 780.00000000, 11.04649300; 790.00000000, 10.84968200; 800.00000000, 10.49536500; 810.00000000, 6.74840670; 820.00000000, 5.72856670; 830.00000000, 5.45858660; 840.00000000, 5.22510510; 850.00000000, 5.06010540; 860.00000000, 4.93300440; 870.00000000, 4.82998470; 880.00000000, 4.74421840; 890.00000000, 4.67149200; 900.00000000, 4.60873690; 910.00000000, 4.55369730; 920.00000000, 4.50411610; 930.00000000, 4.45791150; 940.00000000, 4.41295170; 950.00000000, 4.36788610; 960.00000000, 4.32256360; 970.00000000, 4.52928920; 980.00000000, 4.70843880; 990.00000000, 4.86370190; 1000.00000000, 5.00653950; 1010.00000000, 5.14547680; 1020.00000000, 5.28960150; 1030.00000000, 5.45470500; 1040.00000000, 5.66265160; 1050.00000000, 5.97640290; 1060.00000000, 6.65716480; 1070.00000000, 9.87379140; 1080.00000000, 10.22147000; 1090.00000000, 10.39435700; 1100.00000000, 10.51103100; 1110.00000000, 10.60595800; 1120.00000000, 10.69237700; 1130.00000000, 10.77397900; 1140.00000000, 10.85062100; 1150.00000000, 10.92198100; 1160.00000000, 10.98659400; 1170.00000000, 11.04301300; 1180.00000000, 11.09040500; 1190.00000000, 11.12751400; 1200.00000000, 11.15439200; 1210.00000000, 11.16866800; 1220.00000000, 11.03553500; 1230.00000000, 10.84121700; 1240.00000000, 10.50506600; 1250.00000000, 6.74296370; 1260.00000000, 5.75899650; 1270.00000000, 5.45554250; 1280.00000000, 5.28681040; 1290.00000000, 5.15660300; 1300.00000000, 5.01874200; 1310.00000000, 4.89487360; 1320.00000000, 4.82140060; 1330.00000000, 4.75407650; 1340.00000000, 4.69075990; 1350.00000000, 4.63056880; 1360.00000000, 4.57282390; 1370.00000000, 4.51702030; 1380.00000000, 4.46279230; 1390.00000000, 4.40991390; 1400.00000000, 4.35832460; 1410.00000000, 4.30801920; 1420.00000000, 4.25905720; 1430.00000000, 4.21160890; 1440.00000000, 4.16583700; 1450.00000000, 4.12196630; 1460.00000000, 4.08085670; 1470.00000000, 4.57378080; 1480.00000000, 4.97097610; 1490.00000000, 5.43481470; 1500.00000000, 9.62003460; 1510.00000000, 10.73946800; 1520.00000000, 11.00129800; 1530.00000000, 11.15003000; 1540.00000000, 11.25201300; 1550.00000000, 11.32866700; 1560.00000000, 11.38989400; 1570.00000000, 11.44085100; 1580.00000000, 11.48455100; 1590.00000000, 11.52298200; 1600.00000000, 11.55732300; 1610.00000000, 11.58842100; 1620.00000000, 11.61675500; 1630.00000000, 11.64268500; 1640.00000000, 11.66635100; 1650.00000000, 11.68779700; 1660.00000000, 11.70707900; 1670.00000000, 11.72413900; 1680.00000000, 11.73899600; 1690.00000000, 11.75158700; 1700.00000000, 11.76191700; 1710.00000000, 11.76995000; 1720.00000000, 11.77572300; 1730.00000000, 11.77923700; 1740.00000000, 11.78058300; 1750.00000000, 11.77985600; 1760.00000000, 11.77721000; 1770.00000000, 11.77285400; 1780.00000000, 11.76699900; 1790.00000000, 11.75993800; 1800.00000000, 11.75193500; 1810.00000000, 11.74331700; 1820.00000000, 11.73439600; 1830.00000000, 11.72550300; 1840.00000000, 11.71696900; 1850.00000000, 11.70910600; 1860.00000000, 11.70221900; 1870.00000000, 11.69656900; 1880.00000000, 11.69238600; 1890.00000000, 11.68983800; 1900.00000000, 11.68904400; 1910.00000000, 11.69005100; 1920.00000000, 11.69284900; 1930.00000000, 11.69735900; 1940.00000000, 11.70345000; 1950.00000000, 11.71126100; 1960.00000000, 11.71987600]) annotation(
-      Placement(visible = true, transformation(origin = {-84, -24}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
-    Modelica.Blocks.Sources.TimeTable timeTable_u1(table = [0.00000000, 10.89064200; 10.00000000, 11.01342300; 20.00000000, 10.60607400; 30.00000000, 10.52653900; 40.00000000, 11.53882900; 50.00000000, 9.09083990; 60.00000000, 11.06597900; 70.00000000, 9.91092710; 80.00000000, 9.09962740; 90.00000000, 9.43705990; 100.00000000, 8.66602880; 110.00000000, 9.94606950; 120.00000000, 11.59062500; 130.00000000, 11.63683200; 140.00000000, 8.24225730; 150.00000000, 10.01809200; 160.00000000, 10.06516800; 170.00000000, 9.27613180; 180.00000000, 11.94656800; 190.00000000, 9.06457800; 200.00000000, 8.36293160; 210.00000000, 11.79105700; 220.00000000, 10.00282800; 230.00000000, 9.10832720; 240.00000000, 11.65527000; 250.00000000, 10.11899000; 260.00000000, 9.85778330; 270.00000000, 11.76392000; 280.00000000, 8.20033590; 290.00000000, 11.08081800; 300.00000000, 11.31126900; 310.00000000, 8.50146150; 320.00000000, 10.75382100; 330.00000000, 11.47298900; 340.00000000, 10.94489800; 350.00000000, 10.90164800; 360.00000000, 11.99783200; 370.00000000, 8.93277950; 380.00000000, 10.00000000; 390.00000000, 10.00000000; 400.00000000, 10.00000000; 410.00000000, 10.00000000; 420.00000000, 10.00000000; 430.00000000, 10.00000000; 440.00000000, 10.00000000; 450.00000000, 10.00000000; 460.00000000, 10.00000000; 470.00000000, 10.00000000; 480.00000000, 10.00000000; 490.00000000, 10.00000000; 500.00000000, 10.00000000; 510.00000000, 10.00000000; 520.00000000, 10.00000000; 530.00000000, 10.00000000; 540.00000000, 10.00000000; 550.00000000, 10.00000000; 560.00000000, 10.00000000; 570.00000000, 10.00000000; 580.00000000, 10.00000000; 590.00000000, 10.00000000; 600.00000000, 10.00000000; 610.00000000, 10.00000000; 620.00000000, 10.00000000; 630.00000000, 10.00000000; 640.00000000, 10.00000000; 650.00000000, 10.00000000; 660.00000000, 11.96797200; 670.00000000, 11.95844600; 680.00000000, 8.45447100; 690.00000000, 8.55393050; 700.00000000, 8.66152030; 710.00000000, 11.87600000; 720.00000000, 9.84969780; 730.00000000, 11.57732400; 740.00000000, 11.76732500; 750.00000000, 11.90334100; 760.00000000, 8.49802550; 770.00000000, 9.43989000; 780.00000000, 8.98420680; 790.00000000, 11.92676000; 800.00000000, 11.65465600; 810.00000000, 11.20931200; 820.00000000, 8.06460770; 830.00000000, 11.87057700; 840.00000000, 11.99982400; 850.00000000, 11.85112500; 860.00000000, 11.44514900; 870.00000000, 10.83831900; 880.00000000, 10.11497500; 890.00000000, 9.37565150; 900.00000000, 8.72310290; 910.00000000, 8.24802360; 920.00000000, 8.01644230; 930.00000000, 8.06054530; 940.00000000, 8.37420290; 950.00000000, 8.91382150; 960.00000000, 9.60440240; 970.00000000, 10.34996500; 980.00000000, 11.04688800; 990.00000000, 11.59831000; 1000.00000000, 11.92759100; 1010.00000000, 11.98896600; 1020.00000000, 11.77390500; 1030.00000000, 9.50691340; 1040.00000000, 10.20143400; 1050.00000000, 10.87153000; 1060.00000000, 11.43594900; 1070.00000000, 11.82625300; 1080.00000000, 11.99511500; 1090.00000000, 11.92206000; 1100.00000000, 11.61594700; 1110.00000000, 11.11389300; 1120.00000000, 10.47677400; 1130.00000000, 9.78184390; 1140.00000000, 9.11336650; 1150.00000000, 8.55239750; 1160.00000000, 8.16695690; 1170.00000000, 8.00378120; 1180.00000000, 8.08265610; 1190.00000000, 8.39401770; 1200.00000000, 8.90011210; 1210.00000000, 9.53957280; 1220.00000000, 10.23486300; 1230.00000000, 10.90167400; 1240.00000000, 11.45915300; 1250.00000000, 11.83970400; 1260.00000000, 8.02602590; 1270.00000000, 8.01066460; 1280.00000000, 8.02102580; 1290.00000000, 8.00637580; 1300.00000000, 11.99070200; 1310.00000000, 8.00397460; 1320.00000000, 8.05640310; 1330.00000000, 8.16820250; 1340.00000000, 8.33595770; 1350.00000000, 8.55454420; 1360.00000000, 8.81728490; 1370.00000000, 9.11615400; 1380.00000000, 9.44202180; 1390.00000000, 9.78493420; 1400.00000000, 10.13441600; 1410.00000000, 10.47979200; 1420.00000000, 10.81051200; 1430.00000000, 11.11647300; 1440.00000000, 11.38832900; 1450.00000000, 11.61777600; 1460.00000000, 11.79780600; 1470.00000000, 11.92291700; 1480.00000000, 11.98929000; 1490.00000000, 11.99489500; 1500.00000000, 11.93956300; 1510.00000000, 11.82498300; 1520.00000000, 11.65465600; 1530.00000000, 11.43378400; 1540.00000000, 11.16911400; 1550.00000000, 10.86873100; 1560.00000000, 10.54181200; 1570.00000000, 10.19834100; 1580.00000000, 9.84881210; 1590.00000000, 9.50390140; 1600.00000000, 9.17414490; 1610.00000000, 8.86961580; 1620.00000000, 8.59961640; 1630.00000000, 8.37239440; 1640.00000000, 8.19489080; 1650.00000000, 8.07252770; 1660.00000000, 8.00904290; 1670.00000000, 8.00637580; 1680.00000000, 8.06460770; 1690.00000000, 8.18196000; 1700.00000000, 8.35484770; 1710.00000000, 8.57798980; 1720.00000000, 8.84456990; 1730.00000000, 9.14644490; 1740.00000000, 9.47439330; 1750.00000000, 9.81839740; 1760.00000000, 10.16794900; 1770.00000000, 10.51237000; 1780.00000000, 10.84114000; 1790.00000000, 11.14421600; 1800.00000000, 11.41233900; 1810.00000000, 11.63732000; 1820.00000000, 11.81228500; 1830.00000000, 11.93189100; 1840.00000000, 11.99248400; 1850.00000000, 11.99221200; 1860.00000000, 11.93108500; 1870.00000000, 11.81096800; 1880.00000000, 11.63553300; 1890.00000000, 11.41013600; 1900.00000000, 11.14166500; 1910.00000000, 10.83831900; 1920.00000000, 10.50936500; 1930.00000000, 10.16485100; 1940.00000000, 9.81530190; 1950.00000000, 9.47139470; 1960.00000000, 9.14363470]) annotation(
-      Placement(visible = true, transformation(origin = {-86, 70}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
-    Neural_Network.Utilities.SamplerMIMO sampler(nin = 3, nout = 3, samplePeriod = 10) annotation(
-      Placement(visible = true, transformation(origin = {18, 30}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
-    Modelica.Blocks.Sources.TimeTable timeTable_u2(table = [0.00000000, 1.00000000; 10.00000000, 1.00000000; 20.00000000, 1.00000000; 30.00000000, 1.00000000; 40.00000000, 1.00000000; 50.00000000, 1.00000000; 60.00000000, 1.00000000; 70.00000000, 1.00000000; 80.00000000, 1.00000000; 90.00000000, 1.00000000; 100.00000000, 1.00000000; 110.00000000, 1.00000000; 120.00000000, 1.00000000; 130.00000000, 1.00000000; 140.00000000, 1.00000000; 150.00000000, 1.00000000; 160.00000000, 1.00000000; 170.00000000, 1.00000000; 180.00000000, 1.00000000; 190.00000000, 1.00000000; 200.00000000, 1.00000000; 210.00000000, 1.00000000; 220.00000000, 0.00000000; 230.00000000, 0.00000000; 240.00000000, 0.00000000; 250.00000000, 0.00000000; 260.00000000, 0.00000000; 270.00000000, 0.00000000; 280.00000000, 0.00000000; 290.00000000, 0.00000000; 300.00000000, 0.00000000; 310.00000000, 0.00000000; 320.00000000, 0.00000000; 330.00000000, 0.00000000; 340.00000000, 0.00000000; 350.00000000, 0.00000000; 360.00000000, 0.00000000; 370.00000000, 0.00000000; 380.00000000, 0.00000000; 390.00000000, 0.00000000; 400.00000000, 0.00000000; 410.00000000, 0.00000000; 420.00000000, 0.00000000; 430.00000000, 0.00000000; 440.00000000, 0.00000000; 450.00000000, 0.00000000; 460.00000000, 0.00000000; 470.00000000, 2.00000000; 480.00000000, 2.00000000; 490.00000000, 2.00000000; 500.00000000, 2.00000000; 510.00000000, 2.00000000; 520.00000000, 2.00000000; 530.00000000, 2.00000000; 540.00000000, 2.00000000; 550.00000000, 2.00000000; 560.00000000, 2.00000000; 570.00000000, 2.00000000; 580.00000000, 2.00000000; 590.00000000, 2.00000000; 600.00000000, 2.00000000; 610.00000000, 2.00000000; 620.00000000, 2.00000000; 630.00000000, 2.00000000; 640.00000000, 2.00000000; 650.00000000, 2.00000000; 660.00000000, 2.00000000; 670.00000000, 2.00000000; 680.00000000, 2.00000000; 690.00000000, 2.00000000; 700.00000000, 2.00000000; 710.00000000, 2.00000000; 720.00000000, 0.00000000; 730.00000000, 0.00000000; 740.00000000, 0.00000000; 750.00000000, 0.00000000; 760.00000000, 0.00000000; 770.00000000, 0.00000000; 780.00000000, 0.00000000; 790.00000000, 0.00000000; 800.00000000, 0.00000000; 810.00000000, 0.00000000; 820.00000000, 0.00000000; 830.00000000, 0.00000000; 840.00000000, 0.00000000; 850.00000000, 0.00000000; 860.00000000, 0.00000000; 870.00000000, 0.00000000; 880.00000000, 0.00000000; 890.00000000, 0.00000000; 900.00000000, 0.00000000; 910.00000000, 0.00000000; 920.00000000, 0.00000000; 930.00000000, 0.00000000; 940.00000000, 0.00000000; 950.00000000, 0.00000000; 960.00000000, 0.00000000; 970.00000000, 1.00000000; 980.00000000, 1.00000000; 990.00000000, 1.00000000; 1000.00000000, 1.00000000; 1010.00000000, 1.00000000; 1020.00000000, 1.00000000; 1030.00000000, 1.00000000; 1040.00000000, 1.00000000; 1050.00000000, 1.00000000; 1060.00000000, 1.00000000; 1070.00000000, 1.00000000; 1080.00000000, 1.00000000; 1090.00000000, 1.00000000; 1100.00000000, 1.00000000; 1110.00000000, 1.00000000; 1120.00000000, 1.00000000; 1130.00000000, 1.00000000; 1140.00000000, 1.00000000; 1150.00000000, 1.00000000; 1160.00000000, 1.00000000; 1170.00000000, 1.00000000; 1180.00000000, 1.00000000; 1190.00000000, 1.00000000; 1200.00000000, 1.00000000; 1210.00000000, 1.00000000; 1220.00000000, 0.00000000; 1230.00000000, 0.00000000; 1240.00000000, 0.00000000; 1250.00000000, 0.00000000; 1260.00000000, 0.00000000; 1270.00000000, 0.00000000; 1280.00000000, 0.00000000; 1290.00000000, 0.00000000; 1300.00000000, 0.00000000; 1310.00000000, 0.00000000; 1320.00000000, 0.00000000; 1330.00000000, 0.00000000; 1340.00000000, 0.00000000; 1350.00000000, 0.00000000; 1360.00000000, 0.00000000; 1370.00000000, 0.00000000; 1380.00000000, 0.00000000; 1390.00000000, 0.00000000; 1400.00000000, 0.00000000; 1410.00000000, 0.00000000; 1420.00000000, 0.00000000; 1430.00000000, 0.00000000; 1440.00000000, 0.00000000; 1450.00000000, 0.00000000; 1460.00000000, 0.00000000; 1470.00000000, 2.00000000; 1480.00000000, 2.00000000; 1490.00000000, 2.00000000; 1500.00000000, 2.00000000; 1510.00000000, 2.00000000; 1520.00000000, 2.00000000; 1530.00000000, 2.00000000; 1540.00000000, 2.00000000; 1550.00000000, 2.00000000; 1560.00000000, 2.00000000; 1570.00000000, 2.00000000; 1580.00000000, 2.00000000; 1590.00000000, 2.00000000; 1600.00000000, 2.00000000; 1610.00000000, 2.00000000; 1620.00000000, 2.00000000; 1630.00000000, 2.00000000; 1640.00000000, 2.00000000; 1650.00000000, 2.00000000; 1660.00000000, 2.00000000; 1670.00000000, 2.00000000; 1680.00000000, 2.00000000; 1690.00000000, 2.00000000; 1700.00000000, 2.00000000; 1710.00000000, 2.00000000; 1720.00000000, 2.00000000; 1730.00000000, 2.00000000; 1740.00000000, 2.00000000; 1750.00000000, 2.00000000; 1760.00000000, 2.00000000; 1770.00000000, 2.00000000; 1780.00000000, 2.00000000; 1790.00000000, 2.00000000; 1800.00000000, 2.00000000; 1810.00000000, 2.00000000; 1820.00000000, 2.00000000; 1830.00000000, 2.00000000; 1840.00000000, 2.00000000; 1850.00000000, 2.00000000; 1860.00000000, 2.00000000; 1870.00000000, 2.00000000; 1880.00000000, 2.00000000; 1890.00000000, 2.00000000; 1900.00000000, 2.00000000; 1910.00000000, 2.00000000; 1920.00000000, 2.00000000; 1930.00000000, 2.00000000; 1940.00000000, 2.00000000; 1950.00000000, 2.00000000; 1960.00000000, 2.00000000]) annotation(
-      Placement(visible = true, transformation(origin = {-84, 30}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
-    Modelica.Blocks.Routing.Replicator replicator(nout = 1) annotation(
-      Placement(visible = true, transformation(origin = {-56, 70}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
-    Modelica.Blocks.Routing.Replicator replicator1(nout = 1) annotation(
-      Placement(visible = true, transformation(origin = {-54, 30}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
-    Modelica.Blocks.Routing.Multiplex3 multiplex3 annotation(
-      Placement(visible = true, transformation(origin = {-14, 30}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
-Neural_Network.Network.NARX_MISO_3_Layer nARX_MISO_3_Layer annotation(
-      Placement(visible = true, transformation(origin = {82, 30}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
-  equation
-    connect(sampler.y, timeDelay.u) annotation(
-      Line(points = {{29, 30}, {38, 30}}, color = {0, 0, 127}, thickness = 0.5));
-    connect(timeTable_u1.y, replicator.u) annotation(
-      Line(points = {{-75, 70}, {-68, 70}}, color = {0, 0, 127}));
-    connect(timeTable_u2.y, replicator1.u) annotation(
-      Line(points = {{-73, 30}, {-66, 30}}, color = {0, 0, 127}));
-    connect(replicator1.y, multiplex3.u2) annotation(
-      Line(points = {{-43, 30}, {-26, 30}}, color = {0, 0, 127}, thickness = 0.5));
-    connect(replicator.y, multiplex3.u1) annotation(
-      Line(points = {{-45, 70}, {-40, 70}, {-40, 37}, {-26, 37}}, color = {0, 0, 127}, thickness = 0.5));
-    connect(multiplex3.y, sampler.u) annotation(
-      Line(points = {{-3, 30}, {6, 30}}, color = {0, 0, 127}, thickness = 0.5));
-connect(timeDelay.y, nARX_MISO_3_Layer.u) annotation(
-      Line(points = {{62, 30}, {70, 30}}, color = {0, 0, 127}, thickness = 0.5));
-connect(nARX_MISO_3_Layer.y, multiplex3.u3) annotation(
-      Line(points = {{94, 30}, {96, 30}, {96, 8}, {-40, 8}, {-40, 24}, {-26, 24}}, color = {0, 0, 127}, thickness = 0.5));
-  end    NARX_MISO;
diff --git a/NeuralNetwork/Example_Models/NARX_PCA/Model/NARX_PCA.mo b/NeuralNetwork/Example_Models/NARX_PCA/Model/NARX_PCA.mo
deleted file mode 100644
index d93c52d..0000000
--- a/NeuralNetwork/Example_Models/NARX_PCA/Model/NARX_PCA.mo
+++ /dev/null
@@ -1,31 +0,0 @@
-model
-NARX_PCA
-Modelica.Blocks.Sources.TimeTable timeTable_u(table = [0.00000000, 0.04534702; 0.01000000, 0.04534702; 0.02000000, 0.04534702; 0.03000000, 0.04534702; 0.04000000, 0.04534702; 0.05000000, 0.04534702; 0.06000000, 0.04534702; 0.07000000, 0.04534702; 0.08000000, 0.04534702; 0.09000000, 0.04534702; 0.10000000, 0.04534702; 0.11000000, 0.04534702; 0.12000000, 0.04534702; 0.13000000, 0.04534702; 0.14000000, 0.04534702; 0.15000000, 0.04534702; 0.16000000, 0.04534702; 0.17000000, 0.04534702; 0.18000000, 0.04534702; 0.19000000, 0.04534702; 0.20000000, 2.91664325; 0.21000000, 2.91664325; 0.22000000, 2.91664325; 0.23000000, 2.91664325; 0.24000000, 2.91664325; 0.25000000, 2.91664325; 0.26000000, 2.91664325; 0.27000000, 2.91664325; 0.28000000, 2.91664325; 0.29000000, 2.91664325; 0.30000000, 2.91664325; 0.31000000, 2.91664325; 0.32000000, 2.91664325; 0.33000000, 2.91664325; 0.34000000, 2.91664325; 0.35000000, 2.91664325; 0.36000000, 2.91664325; 0.37000000, 2.91664325; 0.38000000, 2.91664325; 0.39000000, 2.91664325; 0.40000000, 2.91664325; 0.41000000, 2.91664325; 0.42000000, 2.91664325; 0.43000000, 2.91664325; 0.44000000, 2.91664325; 0.45000000, 2.91664325; 0.46000000, 2.91664325; 0.47000000, 2.91664325; 0.48000000, 2.91664325; 0.49000000, 2.91664325; 0.50000000, 2.91664325; 0.51000000, 2.91664325; 0.52000000, 2.91664325; 0.53000000, 2.91664325; 0.54000000, 2.91664325; 0.55000000, 2.91664325; 0.56000000, 2.91664325; 0.57000000, 2.91664325; 0.58000000, 2.91664325; 0.59000000, 2.91664325; 0.60000000, 2.91664325; 0.61000000, 2.91664325; 0.62000000, 2.91664325; 0.63000000, 2.91664325; 0.64000000, 2.91664325; 0.65000000, 2.91664325; 0.66000000, 2.91664325; 0.67000000, 2.91664325; 0.68000000, 2.91664325; 0.69000000, 2.91664325; 0.70000000, 2.91664325; 0.71000000, 2.91664325; 0.72000000, 2.91664325; 0.73000000, 2.91664325; 0.74000000, 2.91664325; 0.75000000, 2.91664325; 0.76000000, 2.91664325; 0.77000000, 2.91664325; 0.78000000, 2.91664325; 0.79000000, 2.91664325; 0.80000000, 2.91664325; 0.81000000, 2.91664325; 0.82000000, 2.91664325; 0.83000000, 2.91664325; 0.84000000, 2.91664325; 0.85000000, 2.91664325; 0.86000000, 2.91664325; 0.87000000, 2.91664325; 0.88000000, 2.91664325; 0.89000000, 2.91664325; 0.90000000, 2.91664325; 0.91000000, 2.91664325; 0.92000000, 1.30547563; 0.93000000, 1.30547563; 0.94000000, 1.30547563; 0.95000000, 1.30547563; 0.96000000, 1.30547563; 0.97000000, 1.30547563; 0.98000000, 1.30547563; 0.99000000, 1.30547563; 1.00000000, 1.30547563; 1.01000000, 1.30547563; 1.02000000, 1.30547563; 1.03000000, 1.30547563; 1.04000000, 1.30547563; 1.05000000, 1.30547563; 1.06000000, 1.30547563; 1.07000000, 1.30547563; 1.08000000, 1.30547563; 1.09000000, 1.30547563; 1.10000000, 1.30547563; 1.11000000, 1.30547563; 1.12000000, 1.30547563; 1.13000000, 1.30547563; 1.14000000, 1.30547563; 1.15000000, 1.30547563; 1.16000000, 1.30547563; 1.17000000, 1.30547563; 1.18000000, 1.30547563; 1.19000000, 1.30547563; 1.20000000, 1.30547563; 1.21000000, 1.30547563; 1.22000000, 1.30547563; 1.23000000, 1.30547563; 1.24000000, 1.30547563; 1.25000000, 1.30547563; 1.26000000, 1.30547563; 1.27000000, 1.30547563; 1.28000000, 1.30547563; 1.29000000, 1.30547563; 1.30000000, 1.30547563; 1.31000000, 1.30547563; 1.32000000, 1.30547563; 1.33000000, 1.30547563; 1.34000000, 1.30547563; 1.35000000, 1.30547563; 1.36000000, 1.30547563; 1.37000000, 1.30547563; 1.38000000, 1.30547563; 1.39000000, 1.30547563; 1.40000000, 1.30547563; 1.41000000, 1.30547563; 1.42000000, 1.30547563; 1.43000000, 1.30547563; 1.44000000, 1.30547563; 1.45000000, 1.30547563; 1.46000000, 1.30547563; 1.47000000, 1.30547563; 1.48000000, 1.30547563; 1.49000000, 1.30547563; 1.50000000, 1.30547563; 1.51000000, 1.30547563; 1.52000000, 1.30547563; 1.53000000, 1.30547563; 1.54000000, 2.97105326; 1.55000000, 2.97105326; 1.56000000, 2.97105326; 1.57000000, 2.97105326; 1.58000000, 2.97105326; 1.59000000, 2.97105326; 1.60000000, 2.97105326; 1.61000000, 2.97105326; 1.62000000, 2.97105326; 1.63000000, 2.97105326; 1.64000000, 2.97105326; 1.65000000, 2.97105326; 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-    Modelica.Blocks.Sources.TimeTable timeTable_y(table = [0.00000000, 1.30444486; 0.01000000, 1.28774432; 0.02000000, 1.27073875; 0.03000000, 1.25344011; 0.04000000, 1.23585990; 0.05000000, 1.21800918; 0.06000000, 1.19989856; 0.07000000, 1.18153826; 0.08000000, 1.16293806; 0.09000000, 1.14410740; 0.10000000, 1.12505532; 0.11000000, 1.10579052; 0.12000000, 1.08632136; 0.13000000, 1.06665586; 0.14000000, 1.04680175; 0.15000000, 1.02676643; 0.16000000, 1.00655703; 0.17000000, 0.98618039; 0.18000000, 0.96564310; 0.19000000, 0.94495147; 0.20000000, 0.92411158; 0.21000000, 0.90541612; 0.22000000, 0.89109677; 0.23000000, 0.88105573; 0.24000000, 0.87517843; 0.25000000, 0.87333332; 0.26000000, 0.87537230; 0.27000000, 0.88113201; 0.28000000, 0.89043549; 0.29000000, 0.90309447; 0.30000000, 0.91891189; 0.31000000, 0.93768459; 0.32000000, 0.95920603; 0.33000000, 0.98326883; 0.34000000, 1.00966712; 0.35000000, 1.03819862; 0.36000000, 1.06866630; 0.37000000, 1.10087987; 0.38000000, 1.13465680; 0.39000000, 1.16982312; 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0.82000000, 2.74909587; 0.83000000, 2.77622241; 0.84000000, 2.80282649; 0.85000000, 2.82891435; 0.86000000, 2.85449249; 0.87000000, 2.87956771; 0.88000000, 2.90414699; 0.89000000, 2.92823754; 0.90000000, 2.95184670; 0.91000000, 2.97498197; 0.92000000, 2.99765093; 0.93000000, 3.01930283; 0.94000000, 3.03942176; 0.95000000, 3.05806599; 0.96000000, 3.07529167; 0.97000000, 3.09115289; 0.98000000, 3.10570176; 0.99000000, 3.11898846; 1.00000000, 3.13106136; 1.01000000, 3.14196699; 1.02000000, 3.15175022; 1.03000000, 3.16045422; 1.04000000, 3.16812058; 1.05000000, 3.17478934; 1.06000000, 3.18049908; 1.07000000, 3.18528691; 1.08000000, 3.18918860; 1.09000000, 3.19223857; 1.10000000, 3.19446997; 1.11000000, 3.19591470; 1.12000000, 3.19660351; 1.13000000, 3.19656596; 1.14000000, 3.19583055; 1.15000000, 3.19442470; 1.16000000, 3.19237481; 1.17000000, 3.18970630; 1.18000000, 3.18644365; 1.19000000, 3.18261043; 1.20000000, 3.17822931; 1.21000000, 3.17332216; 1.22000000, 3.16790999; 1.23000000, 3.16201306; 1.24000000, 3.15565087; 1.25000000, 3.14884220; 1.26000000, 3.14160513; 1.27000000, 3.13395706; 1.28000000, 3.12591475; 1.29000000, 3.11749436; 1.30000000, 3.10871143; 1.31000000, 3.09958093; 1.32000000, 3.09011729; 1.33000000, 3.08033438; 1.34000000, 3.07024559; 1.35000000, 3.05986380; 1.36000000, 3.04920143; 1.37000000, 3.03827043; 1.38000000, 3.02708231; 1.39000000, 3.01564819; 1.40000000, 3.00397874; 1.41000000, 2.99208427; 1.42000000, 2.97997472; 1.43000000, 2.96765965; 1.44000000, 2.95514827; 1.45000000, 2.94244949; 1.46000000, 2.92957187; 1.47000000, 2.91652366; 1.48000000, 2.90331284; 1.49000000, 2.88994708; 1.50000000, 2.87643379; 1.51000000, 2.86278011; 1.52000000, 2.84899293; 1.53000000, 2.83507890; 1.54000000, 2.82104444; 1.55000000, 2.80751963; 1.56000000, 2.79510549; 1.57000000, 2.78376530; 1.58000000, 2.77346327; 1.59000000, 2.76416446; 1.60000000, 2.75583477; 1.61000000, 2.74844094; 1.62000000, 2.74195049; 1.63000000, 2.73633174; 1.64000000, 2.73155373; 1.65000000, 2.72758626; 1.66000000, 2.72439987; 1.67000000, 2.72196577; 1.68000000, 2.72025589; 1.69000000, 2.71924283; 1.70000000, 2.71889986; 1.71000000, 2.71876816; 1.72000000, 2.71841246; 1.73000000, 2.71784164; 1.74000000, 2.71706428; 1.75000000, 2.71608871; 1.76000000, 2.71492294; 1.77000000, 2.71357476; 1.78000000, 2.71205168; 1.79000000, 2.71036097; 1.80000000, 2.70850966; 1.81000000, 2.70650455; 1.82000000, 2.70435221; 1.83000000, 2.70205900; 1.84000000, 2.69963107; 1.85000000, 2.69707436; 1.86000000, 2.69412947; 1.87000000, 2.69055037; 1.88000000, 2.68636220; 1.89000000, 2.68158918; 1.90000000, 2.67625462; 1.91000000, 2.67038096; 1.92000000, 2.66398980; 1.93000000, 2.65710195; 1.94000000, 2.64973744; 1.95000000, 2.64191554; 1.96000000, 2.63365483; 1.97000000, 2.62497320; 1.98000000, 2.61588785; 1.99000000, 2.60641537; 2.00000000, 2.59657173; 2.01000000, 2.58637231; 2.02000000, 2.57583193; 2.03000000, 2.56496485; 2.04000000, 2.55378482; 2.05000000, 2.54230507; 2.06000000, 2.53053837; 2.07000000, 2.51849701; 2.08000000, 2.50619283; 2.09000000, 2.49363724; 2.10000000, 2.48084125; 2.11000000, 2.46781545; 2.12000000, 2.45457007; 2.13000000, 2.44111496; 2.14000000, 2.42745962; 2.15000000, 2.41361321; 2.16000000, 2.39958456; 2.17000000, 2.38538221; 2.18000000, 2.37101436; 2.19000000, 2.35648895; 2.20000000, 2.34181365; 2.21000000, 2.32699583; 2.22000000, 2.31204263; 2.23000000, 2.29696095; 2.24000000, 2.28285629; 2.25000000, 2.27078491; 2.26000000, 2.26068004; 2.27000000, 2.25247554; 2.28000000, 2.24610586; 2.29000000, 2.24150608; 2.30000000, 2.23861189; 2.31000000, 2.23735962; 2.32000000, 2.23768629; 2.33000000, 2.23952961; 2.34000000, 2.24282808; 2.35000000, 2.24752097; 2.36000000, 2.25318598; 2.37000000, 2.25942234; 2.38000000, 2.26620281; 2.39000000, 2.27350082; 2.40000000, 2.28129048; 2.41000000, 2.28954658; 2.42000000, 2.29824458; 2.43000000, 2.30736063; 2.44000000, 2.31687153; 2.45000000, 2.32675477; 2.46000000, 2.33698852; 2.47000000, 2.34755158; 2.48000000, 2.35842344; 2.49000000, 2.36958423; 2.50000000, 2.38101472; 2.51000000, 2.39269634; 2.52000000, 2.40461113; 2.53000000, 2.41674177; 2.54000000, 2.42907154; 2.55000000, 2.44158434; 2.56000000, 2.45426465; 2.57000000, 2.46709754; 2.58000000, 2.48006865; 2.59000000, 2.49316418; 2.60000000, 2.50637089; 2.61000000, 2.51967606; 2.62000000, 2.53306750; 2.63000000, 2.54653354; 2.64000000, 2.56006301; 2.65000000, 2.57364521; 2.66000000, 2.58726993; 2.67000000, 2.60092742; 2.68000000, 2.61460837; 2.69000000, 2.62830390; 2.70000000, 2.64200558; 2.71000000, 2.65570536; 2.72000000, 2.66939560; 2.73000000, 2.68306903; 2.74000000, 2.69671878; 2.75000000, 2.71033832; 2.76000000, 2.72392147; 2.77000000, 2.73746237; 2.78000000, 2.75095552; 2.79000000, 2.76439570; 2.80000000, 2.77777800; 2.81000000, 2.79109781; 2.82000000, 2.80435079; 2.83000000, 2.81753286; 2.84000000, 2.83064021; 2.85000000, 2.84366927; 2.86000000, 2.85661672; 2.87000000, 2.86947946; 2.88000000, 2.88225461; 2.89000000, 2.89493950; 2.90000000, 2.90753165; 2.91000000, 2.92002879; 2.92000000, 2.93242883; 2.93000000, 2.94472986; 2.94000000, 2.95693012; 2.95000000, 2.96902803; 2.96000000, 2.98102215; 2.97000000, 2.99291120; 2.98000000, 3.00469403; 2.99000000, 3.01636963; 3.00000000, 3.02793711; 3.01000000, 3.03939571; 3.02000000, 3.05074477; 3.03000000, 3.06198374; 3.04000000, 3.07311220; 3.05000000, 3.08412981; 3.06000000, 3.09503630; 3.07000000, 3.10583153; 3.08000000, 3.11651541; 3.09000000, 3.12708796; 3.10000000, 3.13754924; 3.11000000, 3.14789942; 3.12000000, 3.15813869; 3.13000000, 3.16826735; 3.14000000, 3.17828572; 3.15000000, 3.18819420; 3.16000000, 3.19799324; 3.17000000, 3.20768331; 3.18000000, 3.21726498; 3.19000000, 3.22673881; 3.20000000, 3.23610542; 3.21000000, 3.24536548; 3.22000000, 3.25451968; 3.23000000, 3.26356875; 3.24000000, 3.27251343; 3.25000000, 3.28135451; 3.26000000, 3.29009281; 3.27000000, 3.29872914; 3.28000000, 3.30726437; 3.29000000, 3.31569937; 3.30000000, 3.32403502; 3.31000000, 3.33227224; 3.32000000, 3.34041193; 3.33000000, 3.34845505; 3.34000000, 3.35695768; 3.35000000, 3.36644470; 3.36000000, 3.37687110; 3.37000000, 3.38819302; 3.38000000, 3.40036779; 3.39000000, 3.41335388; 3.40000000, 3.42711092; 3.41000000, 3.44159970; 3.42000000, 3.45678212; 3.43000000, 3.47262123; 3.44000000, 3.48908118; 3.45000000, 3.50612725; 3.46000000, 3.52372579; 3.47000000, 3.54184426; 3.48000000, 3.56045115; 3.49000000, 3.57951604; 3.50000000, 3.59900953; 3.51000000, 3.61890323; 3.52000000, 3.63916977; 3.53000000, 3.65978277; 3.54000000, 3.68071681; 3.55000000, 3.70194740; 3.56000000, 3.72345101; 3.57000000, 3.74520499; 3.58000000, 3.76718761; 3.59000000, 3.78937798; 3.60000000, 3.81175606; 3.61000000, 3.83430265; 3.62000000, 3.85699934; 3.63000000, 3.87982850; 3.64000000, 3.90277327; 3.65000000, 3.92581754; 3.66000000, 3.94894589; 3.67000000, 3.97214363; 3.68000000, 3.99539671; 3.69000000, 4.01869176; 3.70000000, 4.04201604; 3.71000000, 4.06535742; 3.72000000, 4.08870437; 3.73000000, 4.11204592; 3.74000000, 4.13537166; 3.75000000, 4.15867174; 3.76000000, 4.18193678; 3.77000000, 4.20515794; 3.78000000, 4.22832683; 3.79000000, 4.25143553; 3.80000000, 4.27447659; 3.81000000, 4.29744294; 3.82000000, 4.32032795; 3.83000000, 4.34312539; 3.84000000, 4.36582941; 3.85000000, 4.38843449; 3.86000000, 4.41093551; 3.87000000, 4.43332764; 3.88000000, 4.45560640; 3.89000000, 4.47776761; 3.90000000, 4.49980739; 3.91000000, 4.52172211; 3.92000000, 4.54350847; 3.93000000, 4.56516336; 3.94000000, 4.58668397; 3.95000000, 4.60806770; 3.96000000, 4.62931218; 3.97000000, 4.65041525; 3.98000000, 4.67137495; 3.99000000, 4.69218954; 4.00000000, 4.71285743; 4.01000000, 4.73337723; 4.02000000, 4.75374771; 4.03000000, 4.77396780; 4.04000000, 4.79403659; 4.05000000, 4.81395329; 4.06000000, 4.83371728; 4.07000000, 4.85332804; 4.08000000, 4.87278518; 4.09000000, 4.89208845; 4.10000000, 4.91123767; 4.11000000, 4.93023280; 4.12000000, 4.94907387; 4.13000000, 4.96776102; 4.14000000, 4.98629447; 4.15000000, 5.00397373; 4.16000000, 5.02013860; 4.17000000, 5.03484801; 4.18000000, 5.04815861; 4.19000000, 5.06012489; 4.20000000, 5.07079924; 4.21000000, 5.08023202; 4.22000000, 5.08847165; 4.23000000, 5.09556471; 4.24000000, 5.10155596; 4.25000000, 5.10648843; 4.26000000, 5.11040351; 4.27000000, 5.11334100; 4.28000000, 5.11533913; 4.29000000, 5.11643470; 4.30000000, 5.11666307; 4.31000000, 5.11605822; 4.32000000, 5.11465285; 4.33000000, 5.11247838; 4.34000000, 5.10956504; 4.35000000, 5.10594186; 4.36000000, 5.10163678; 4.37000000, 5.09667665; 4.38000000, 5.09108729; 4.39000000, 5.08489352; 4.40000000, 5.07811921; 4.41000000, 5.07078731; 4.42000000, 5.06291987; 4.43000000, 5.05453812; 4.44000000, 5.04566243; 4.45000000, 5.03631244; 4.46000000, 5.02650698; 4.47000000, 5.01626419; 4.48000000, 5.00560150; 4.49000000, 4.99453568; 4.50000000, 4.98308283; 4.51000000, 4.97125845; 4.52000000, 4.95907745; 4.53000000, 4.94655416; 4.54000000, 4.93370234; 4.55000000, 4.92053526; 4.56000000, 4.90706565; 4.57000000, 4.89330576; 4.58000000, 4.87926737; 4.59000000, 4.86496182; 4.60000000, 4.85040000; 4.61000000, 4.83559239; 4.62000000, 4.82054907; 4.63000000, 4.80527973; 4.64000000, 4.78979369; 4.65000000, 4.77409993; 4.66000000, 4.75820706; 4.67000000, 4.74212337; 4.68000000, 4.72585686; 4.69000000, 4.70941519; 4.70000000, 4.69273132; 4.71000000, 4.67574149; 4.72000000, 4.65845769; 4.73000000, 4.64089146; 4.74000000, 4.62305386; 4.75000000, 4.60495554; 4.76000000, 4.58660673; 4.77000000, 4.56801724; 4.78000000, 4.54919653; 4.79000000, 4.53015365; 4.80000000, 4.51089732; 4.81000000, 4.49143592; 4.82000000, 4.47177748; 4.83000000, 4.45192973; 4.84000000, 4.43190010; 4.85000000, 4.41169573; 4.86000000, 4.39132347; 4.87000000, 4.37078989; 4.88000000, 4.35010134; 4.89000000, 4.32926389; 4.90000000, 4.30828338; 4.91000000, 4.28716542; 4.92000000, 4.26591541; 4.93000000, 4.24453853; 4.94000000, 4.22303974; 4.95000000, 4.20142385; 4.96000000, 4.17969544; 4.97000000, 4.15785892; 4.98000000, 4.13591854; 4.99000000, 4.11387837; 5.00000000, 4.09174234; 5.01000000, 4.06951419; 5.02000000, 4.04719755; 5.03000000, 4.02479589; 5.04000000, 4.00231255; 5.05000000, 3.97975073; 5.06000000, 3.95711351; 5.07000000, 3.93440386; 5.08000000, 3.91162461; 5.09000000, 3.88877850; 5.10000000, 3.86586816; 5.11000000, 3.84289610; 5.12000000, 3.81986475; 5.13000000, 3.79677645; 5.14000000, 3.77363341; 5.15000000, 3.75043781; 5.16000000, 3.72719169; 5.17000000, 3.70389705; 5.18000000, 3.68055579; 5.19000000, 3.65716975; 5.20000000, 3.63374068; 5.21000000, 3.61027028; 5.22000000, 3.58676017; 5.23000000, 3.56321190; 5.24000000, 3.53962700; 5.25000000, 3.51600688; 5.26000000, 3.49235295; 5.27000000, 3.46866652; 5.28000000, 3.44494888; 5.29000000, 3.42120126; 5.30000000, 3.39742483; 5.31000000, 3.37362074; 5.32000000, 3.34979007; 5.33000000, 3.32593387; 5.34000000, 3.30205314; 5.35000000, 3.27814885; 5.36000000, 3.25422193; 5.37000000, 3.23027328; 5.38000000, 3.20633095; 5.39000000, 3.18242183; 5.40000000, 3.15854501; 5.41000000, 3.13469965; 5.42000000, 3.11088495; 5.43000000, 3.08710014; 5.44000000, 3.06334447; 5.45000000, 3.03961726; 5.46000000, 3.01591783; 5.47000000, 2.99224555; 5.48000000, 2.96859982; 5.49000000, 2.94498006; 5.50000000, 2.92138575; 5.51000000, 2.89781636; 5.52000000, 2.87427141; 5.53000000, 2.85075044; 5.54000000, 2.82725301; 5.55000000, 2.80377872; 5.56000000, 2.78032719; 5.57000000, 2.75689805; 5.58000000, 2.73349096; 5.59000000, 2.71010560; 5.60000000, 2.68674169; 5.61000000, 2.66339895; 5.62000000, 2.64007713; 5.63000000, 2.61677598; 5.64000000, 2.59349530; 5.65000000, 2.57023488; 5.66000000, 2.54699456; 5.67000000, 2.52377416; 5.68000000, 2.50057355; 5.69000000, 2.47739259; 5.70000000, 2.45423119; 5.71000000, 2.43108923; 5.72000000, 2.40796666; 5.73000000, 2.38486340; 5.74000000, 2.36177940; 5.75000000, 2.33871464; 5.76000000, 2.31566910; 5.77000000, 2.29264277; 5.78000000, 2.26963568; 5.79000000, 2.24664783; 5.80000000, 2.22367929; 5.81000000, 2.20073009; 5.82000000, 2.17780032; 5.83000000, 2.15489005; 5.84000000, 2.13199938; 5.85000000, 2.10912842; 5.86000000, 2.08627730; 5.87000000, 2.06344616; 5.88000000, 2.04063515; 5.89000000, 2.01784443; 5.90000000, 1.99507419; 5.91000000, 1.97232463; 5.92000000, 1.94959595; 5.93000000, 1.92688838; 5.94000000, 1.90420216; 5.95000000, 1.88153754; 5.96000000, 1.85889480; 5.97000000, 1.83627422; 5.98000000, 1.81367609; 5.99000000, 1.79110075; 6.00000000, 1.76854851; 6.01000000, 1.74601974; 6.02000000, 1.72351480; 6.03000000, 1.70103408; 6.04000000, 1.67857797; 6.05000000, 1.65614692; 6.06000000, 1.63374135; 6.07000000, 1.61136173; 6.08000000, 1.58900854; 6.09000000, 1.56668230; 6.10000000, 1.54438352; 6.11000000, 1.52211276; 6.12000000, 1.49987059; 6.13000000, 1.47765761; 6.14000000, 1.45547444; 6.15000000, 1.43332175; 6.16000000, 1.41120020; 6.17000000, 1.38911051; 6.18000000, 1.36705343; 6.19000000, 1.34502971; 6.20000000, 1.32304017; 6.21000000, 1.30108566; 6.22000000, 1.27916704; 6.23000000, 1.25728524; 6.24000000, 1.23544122; 6.25000000, 1.21363598; 6.26000000, 1.19187056; 6.27000000, 1.17014607; 6.28000000, 1.14846365; 6.29000000, 1.12682449; 6.30000000, 1.10522986; 6.31000000, 1.08368107; 6.32000000, 1.06217950; 6.33000000, 1.04072660; 6.34000000, 1.01932389; 6.35000000, 0.99957467; 6.36000000, 0.98303844; 6.37000000, 0.96964631; 6.38000000, 0.95932267; 6.39000000, 0.95198484; 6.40000000, 0.94754301; 6.41000000, 0.94590033; 6.42000000, 0.94695325; 6.43000000, 0.95059211; 6.44000000, 0.95670177; 6.45000000, 0.96516258; 6.46000000, 0.97585124; 6.47000000, 0.98864190; 6.48000000, 1.00340714; 6.49000000, 1.02001900; 6.50000000, 1.03835000; 6.51000000, 1.05827397; 6.52000000, 1.07966689; 6.53000000, 1.10240758; 6.54000000, 1.12637831; 6.55000000, 1.15146531; 6.56000000, 1.17755910; 6.57000000, 1.20455485; 6.58000000, 1.23235254; 6.59000000, 1.26085710; 6.60000000, 1.28997852; 6.61000000, 1.31963176; 6.62000000, 1.34973680; 6.63000000, 1.38021849; 6.64000000, 1.41100646; 6.65000000, 1.44203501; 6.66000000, 1.47324286; 6.67000000, 1.50457308; 6.68000000, 1.53597284; 6.69000000, 1.56739325; 6.70000000, 1.59878913; 6.71000000, 1.63011888; 6.72000000, 1.66134425; 6.73000000, 1.69243013; 6.74000000, 1.72334444; 6.75000000, 1.75405787; 6.76000000, 1.78454378; 6.77000000, 1.81477798; 6.78000000, 1.84473863; 6.79000000, 1.87440603; 6.80000000, 1.90376253; 6.81000000, 1.93279235; 6.82000000, 1.96148150; 6.83000000, 1.98987772; 6.84000000, 2.01802596; 6.85000000, 2.04591046; 6.86000000, 2.07351703; 6.87000000, 2.10083292; 6.88000000, 2.12784675; 6.89000000, 2.15454838; 6.90000000, 2.18092891; 6.91000000, 2.20698053; 6.92000000, 2.23269645; 6.93000000, 2.25807089; 6.94000000, 2.28309894; 6.95000000, 2.30777654; 6.96000000, 2.33210042; 6.97000000, 2.35606802; 6.98000000, 2.37967746; 6.99000000, 2.40292749; 7.00000000, 2.42581742; 7.01000000, 2.44834710; 7.02000000, 2.47051687; 7.03000000, 2.49232753; 7.04000000, 2.51378029; 7.05000000, 2.53487674; 7.06000000, 2.55561881; 7.07000000, 2.57600878; 7.08000000, 2.59604918; 7.09000000, 2.61574285; 7.10000000, 2.63509283; 7.11000000, 2.65410240; 7.12000000, 2.67277503; 7.13000000, 2.69111437; 7.14000000, 2.70912422; 7.15000000, 2.72680853; 7.16000000, 2.74417136; 7.17000000, 2.76121689; 7.18000000, 2.77741665; 7.19000000, 2.79227452; 7.20000000, 2.80584176; 7.21000000, 2.81816776; 7.22000000, 2.82930007; 7.23000000, 2.83928453; 7.24000000, 2.84816526; 7.25000000, 2.85598477; 7.26000000, 2.86278399; 7.27000000, 2.86860234; 7.28000000, 2.87347778; 7.29000000, 2.87744687; 7.30000000, 2.88054480; 7.31000000, 2.88280547; 7.32000000, 2.88426151; 7.33000000, 2.88494437; 7.34000000, 2.88488428; 7.35000000, 2.88411039; 7.36000000, 2.88265076; 7.37000000, 2.88053239; 7.38000000, 2.87778130; 7.39000000, 2.87442253; 7.40000000, 2.87048019; 7.41000000, 2.86597750; 7.42000000, 2.86093682; 7.43000000, 2.85537968; 7.44000000, 2.84932680; 7.45000000, 2.84279816]) annotation(
-      Placement(visible = true, transformation(origin = {-84, -52}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
-    Modelica.Blocks.Routing.Multiplex2 multiplex2(n1 = 1, n2 = 1) annotation(
-      Placement(visible = true, transformation(origin = {-42, 20}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
-    Modelica.Blocks.Routing.Replicator replicator(nout = 1) annotation(
-      Placement(visible = true, transformation(origin = {-54, 60}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
-    Neural_Network.Utilities.SamplerMIMO sampler(nin = 2, nout = 2, samplePeriod = 0.01) annotation(
-      Placement(visible = true, transformation(origin = {-6, 20}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
-    Utilities.TimeDelay timeDelay(delay = 55,nin = 2, nout = 111, numInputs = 1, numOutputs = 1, samplePeriod = 0.01, y_start = {0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 0.04534702, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.64911558, 1.32082790, 1.33688047, 1.35258908, 1.36793968, 1.38291766, 1.39750780, 1.41169425, 1.42546055, 1.43878953, 1.45166334, 1.46406340, 1.47597037, 1.48736412, 1.49822369, 1.50852730, 1.51825223, 1.52737487, 1.53587063, 1.54371393, 1.55087814, 1.55733554, 1.56305728, 1.56801334, 1.57217246, 1.57550212, 1.57840523, 1.58130591, 1.58420247, 1.58709311, 1.58997602, 1.59284928, 1.59571094, 1.59855895, 1.60139121, 1.60420554, 1.60699969, 1.60977134, 1.61251807, 1.61523740, 1.61792678, 1.62058353, 1.62320494, 1.62578817, 1.62833031, 1.63082835, 1.63327919, 1.63567961, 1.63802632, 1.64031592, 1.64254488, 1.64470958, 1.64680629, 1.64883117, 1.65078024, 1.65264943}) annotation(
-      Placement(visible = true, transformation(origin = {26, 20}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
-Neural_Network.Network.NARX_PCA_3_Layer nARX_PCA_3_Layer annotation(
-    Placement(visible = true, transformation(origin = {74, 20}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
-  equation
-  connect(timeTable_u.y, replicator.u) annotation(
-    Line(points = {{-74, 60}, {-66, 60}}, color = {0, 0, 127}));
-  connect(replicator.y, multiplex2.u1) annotation(
-    Line(points = {{-42, 60}, {-34, 60}, {-34, 38}, {-70, 38}, {-70, 26}, {-54, 26}}, color = {0, 0, 127}, thickness = 0.5));
-  connect(multiplex2.y, sampler.u) annotation(
-    Line(points = {{-30, 20}, {-18, 20}}, color = {0, 0, 127}, thickness = 0.5));
-  connect(sampler.y, timeDelay.u) annotation(
-    Line(points = {{6, 20}, {14, 20}}, color = {0, 0, 127}, thickness = 0.5));
-connect(timeDelay.y, nARX_PCA_3_Layer.u) annotation(
-    Line(points = {{38, 20}, {62, 20}}, color = {0, 0, 127}, thickness = 0.5));
-connect(nARX_PCA_3_Layer.y, multiplex2.u2) annotation(
-    Line(points = {{86, 20}, {92, 20}, {92, -20}, {-70, -20}, {-70, 14}, {-54, 14}}, color = {0, 0, 127}, thickness = 0.5));
-protected    
-end    NARX_PCA;
diff --git a/NeuralNetwork/Example_Models/Simple_Network/Network/Tree_Layer_Neural_Network.mo b/NeuralNetwork/Example_Models/Simple_Network/Network/Tree_Layer_Neural_Network.mo
deleted file mode 100644
index 9f2fdca..0000000
--- a/NeuralNetwork/Example_Models/Simple_Network/Network/Tree_Layer_Neural_Network.mo
+++ /dev/null
@@ -1,39 +0,0 @@
-block Tree_Layer_Neural_Network "This block models a very simple three layer Neural Network and should demonstrate the usage of the library"
-	// Parameter of Input Layer
-	parameter Real FirstLayer_bias[3] = {0, 0, 0} "Bias vector of the first layer";
-    parameter Real FirstLayer_weights[3, 2] = [1, 0; 0, 1; 0, 0] "Weight matrix of the first layer";
-	parameter Integer FirstLayer_numInputs = 2 "Specification of the input dimension of the neural network";
-	parameter Integer FirstLayer_numNeurons = 3 "Number of neurons in the first layer";
-	parameter Boolean FirstLayer_pca = false "Reducing the feature space based on a PCA";
-	parameter Boolean FirstLayer_scale = false "Scale the inputs with min-max normalization";
-	parameter Boolean FirstLayer_standardization = false "Scale the inputs with mu-sigma standardization";
-	// Parameter of First Hidden Layer
-	parameter Real SecondLayer_bias[4] = {0, 0, 0, 0} "Bias vector of the second layer";
-	parameter Real SecondLayer_weights[4, 3] = [1, 0, 0; 0, 1, 0; 0, 0, 0; 0, 0, 0] "Weight matrix of the second layer";
-	parameter Integer SecondLayer_numInputs = FirstLayer_numNeurons "Specification of the inputs of the second layer";
-	parameter Integer SecondLayer_numNeurons = 4 "Number of neurons in the second layer";
-	// Set the Activation Function
-	parameter Neural_Network.Activation_Function.Type_Activation_Function ActivationFunction = Neural_Network.Activation_Function.ReLu "Activation function of the Input and Hidden layers";
-	// Parameter of Output Layer
-	parameter Real ThirdLayer_bias[1] = {0} "Bias vector of the third layer";
-	parameter Real ThirdLayer_weights[1, 4] = [1, 1, 0, 0] "Weight matrix of the third layer";
-	parameter Integer ThirdLayer_numInputs = SecondLayer_numNeurons "Specification of the inputs of the third layer";
-	parameter Integer ThirdLayer_numNeurons = 1 "Number of neurons in the third layer";
-	parameter Boolean ThirdLayer_rescale = true "Rescale the outputs with min-max denormalization";
-	parameter Real ThirdLayer_max[1] = {5.0} "Maximum of the training targets";
-	parameter Real ThirdLayer_min[1] = {0.0} "Minimum of the training targets";
-	parameter Boolean ThirdLayer_destandardization = false "Destandardization of the outputs with mu-sigma";
-	parameter Real ThirdLayer_mean[1] = {0.0} "Default value";
-	parameter Real ThirdLayer_std[1] = {1.0} "Default value";
-	// Initilize the Layers of the neural network with the parameter that were defined above
-	Neural_Network.Layer.Input_Hidden_Layer First_Layer(bias = FirstLayer_bias, weights = FirstLayer_weights, NeuronActivation_Function = ActivationFunction, numInputs = FirstLayer_numInputs, numNeurons = FirstLayer_numNeurons, pca = FirstLayer_pca, scale = FirstLayer_scale, max = {1.0}, min = {0.0}, standardization = FirstLayer_standardization, mean = {0.0}, std = {1.0});
-	Neural_Network.Layer.Dense_Hidden_Layer Second_Layer(bias = SecondLayer_bias, weights = SecondLayer_weights, NeuronActivation_Function = ActivationFunction, numInputs = SecondLayer_numInputs, numNeurons = SecondLayer_numNeurons);
-	Neural_Network.Layer.Output_Hidden_Layer Third_Layer(bias = ThirdLayer_bias, weights = ThirdLayer_weights, numInputs = ThirdLayer_numInputs, numNeurons = ThirdLayer_numNeurons, rescale = ThirdLayer_rescale, max = ThirdLayer_max, min = ThirdLayer_min, destandardization = ThirdLayer_destandardization, mean = ThirdLayer_mean, std = ThirdLayer_std);
-	// Treat Neural Network as multiple Input - multiple Output Block
-	extends Modelica.Blocks.Interfaces.MIMO(final nin = FirstLayer_numInputs, final nout = ThirdLayer_numNeurons);
-	equation
-		connect(u, First_Layer.u);
-		connect(First_Layer.y, Second_Layer.u);
-		connect(Second_Layer.y, Third_Layer.u);
-		connect(Third_Layer.y, y);
-end Tree_Layer_Neural_Network;
diff --git a/NeuralNetwork/Examples/NARX_MISO.mo b/NeuralNetwork/Examples/NARX_MISO.mo
new file mode 100644
index 0000000..343eb36
--- /dev/null
+++ b/NeuralNetwork/Examples/NARX_MISO.mo
@@ -0,0 +1,42 @@
+within NeuralNetwork.Examples;
+
+model NARX_MISO
+  extends Modelica.Icons.Example;
+  NeuralNetwork.Utilities.TimeDelay timeDelay(delay = 4, nin = 3, nout = 14, numInputs = 2, numOutputs = 1, samplePeriod = 10, y_start = {10.89064200, 11.93020100, 9.46135470, 11.02564200, 8.87583670, 1.00000000, 1.00000000, 1.00000000, 1.00000000, 1.00000000, 10.95541600, 10.89493000, 10.83935000, 6.91290870}) annotation(
+    Placement(visible = true, transformation(origin = {50, 30}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
+  Modelica.Blocks.Sources.TimeTable timeTable_y(table = [0.00000000, 10.96989000; 10.00000000, 10.98481300; 20.00000000, 10.99991500; 30.00000000, 11.01624200; 40.00000000, 11.02986000; 50.00000000, 11.04274700; 60.00000000, 11.07037400; 70.00000000, 11.07719000; 80.00000000, 11.09499900; 90.00000000, 11.11799100; 100.00000000, 11.13570800; 110.00000000, 11.15447000; 120.00000000, 11.14974300; 130.00000000, 11.13681100; 140.00000000, 11.14483100; 150.00000000, 11.15262500; 160.00000000, 11.15818700; 170.00000000, 11.16584900; 180.00000000, 11.15498700; 190.00000000, 11.14579800; 200.00000000, 11.16485500; 210.00000000, 11.17683500; 220.00000000, 11.05917800; 230.00000000, 10.89493600; 240.00000000, 10.61499300; 250.00000000, 9.83171040; 260.00000000, 6.00605160; 270.00000000, 5.62466230; 280.00000000, 5.40523860; 290.00000000, 5.24967910; 300.00000000, 5.11683850; 310.00000000, 5.02158460; 320.00000000, 4.94281880; 330.00000000, 4.85275750; 340.00000000, 4.77398730; 350.00000000, 4.70344430; 360.00000000, 4.63440890; 370.00000000, 4.56664700; 380.00000000, 4.51319900; 390.00000000, 4.46079100; 400.00000000, 4.41068460; 410.00000000, 4.36280420; 420.00000000, 4.31692130; 430.00000000, 4.27297520; 440.00000000, 4.23089310; 450.00000000, 4.19051930; 460.00000000, 4.15251140; 470.00000000, 4.61637610; 480.00000000, 5.01807170; 490.00000000, 5.53889850; 500.00000000, 10.24042500; 510.00000000, 10.86452600; 520.00000000, 11.09112000; 530.00000000, 11.22622800; 540.00000000, 11.31971200; 550.00000000, 11.38933500; 560.00000000, 11.44359700; 570.00000000, 11.48717900; 580.00000000, 11.52290000; 590.00000000, 11.55268500; 600.00000000, 11.57781000; 610.00000000, 11.59922400; 620.00000000, 11.61761400; 630.00000000, 11.63352000; 640.00000000, 11.64734400; 650.00000000, 11.65939700; 660.00000000, 11.66995000; 670.00000000, 11.67185200; 680.00000000, 11.68091300; 690.00000000, 11.69747400; 700.00000000, 11.71143100; 710.00000000, 11.70714300; 720.00000000, 11.63178700; 730.00000000, 11.56676000; 740.00000000, 11.48116900; 750.00000000, 11.38007300; 760.00000000, 11.28674300; 770.00000000, 11.17064200; 780.00000000, 11.04649300; 790.00000000, 10.84968200; 800.00000000, 10.49536500; 810.00000000, 6.74840670; 820.00000000, 5.72856670; 830.00000000, 5.45858660; 840.00000000, 5.22510510; 850.00000000, 5.06010540; 860.00000000, 4.93300440; 870.00000000, 4.82998470; 880.00000000, 4.74421840; 890.00000000, 4.67149200; 900.00000000, 4.60873690; 910.00000000, 4.55369730; 920.00000000, 4.50411610; 930.00000000, 4.45791150; 940.00000000, 4.41295170; 950.00000000, 4.36788610; 960.00000000, 4.32256360; 970.00000000, 4.52928920; 980.00000000, 4.70843880; 990.00000000, 4.86370190; 1000.00000000, 5.00653950; 1010.00000000, 5.14547680; 1020.00000000, 5.28960150; 1030.00000000, 5.45470500; 1040.00000000, 5.66265160; 1050.00000000, 5.97640290; 1060.00000000, 6.65716480; 1070.00000000, 9.87379140; 1080.00000000, 10.22147000; 1090.00000000, 10.39435700; 1100.00000000, 10.51103100; 1110.00000000, 10.60595800; 1120.00000000, 10.69237700; 1130.00000000, 10.77397900; 1140.00000000, 10.85062100; 1150.00000000, 10.92198100; 1160.00000000, 10.98659400; 1170.00000000, 11.04301300; 1180.00000000, 11.09040500; 1190.00000000, 11.12751400; 1200.00000000, 11.15439200; 1210.00000000, 11.16866800; 1220.00000000, 11.03553500; 1230.00000000, 10.84121700; 1240.00000000, 10.50506600; 1250.00000000, 6.74296370; 1260.00000000, 5.75899650; 1270.00000000, 5.45554250; 1280.00000000, 5.28681040; 1290.00000000, 5.15660300; 1300.00000000, 5.01874200; 1310.00000000, 4.89487360; 1320.00000000, 4.82140060; 1330.00000000, 4.75407650; 1340.00000000, 4.69075990; 1350.00000000, 4.63056880; 1360.00000000, 4.57282390; 1370.00000000, 4.51702030; 1380.00000000, 4.46279230; 1390.00000000, 4.40991390; 1400.00000000, 4.35832460; 1410.00000000, 4.30801920; 1420.00000000, 4.25905720; 1430.00000000, 4.21160890; 1440.00000000, 4.16583700; 1450.00000000, 4.12196630; 1460.00000000, 4.08085670; 1470.00000000, 4.57378080; 1480.00000000, 4.97097610; 1490.00000000, 5.43481470; 1500.00000000, 9.62003460; 1510.00000000, 10.73946800; 1520.00000000, 11.00129800; 1530.00000000, 11.15003000; 1540.00000000, 11.25201300; 1550.00000000, 11.32866700; 1560.00000000, 11.38989400; 1570.00000000, 11.44085100; 1580.00000000, 11.48455100; 1590.00000000, 11.52298200; 1600.00000000, 11.55732300; 1610.00000000, 11.58842100; 1620.00000000, 11.61675500; 1630.00000000, 11.64268500; 1640.00000000, 11.66635100; 1650.00000000, 11.68779700; 1660.00000000, 11.70707900; 1670.00000000, 11.72413900; 1680.00000000, 11.73899600; 1690.00000000, 11.75158700; 1700.00000000, 11.76191700; 1710.00000000, 11.76995000; 1720.00000000, 11.77572300; 1730.00000000, 11.77923700; 1740.00000000, 11.78058300; 1750.00000000, 11.77985600; 1760.00000000, 11.77721000; 1770.00000000, 11.77285400; 1780.00000000, 11.76699900; 1790.00000000, 11.75993800; 1800.00000000, 11.75193500; 1810.00000000, 11.74331700; 1820.00000000, 11.73439600; 1830.00000000, 11.72550300; 1840.00000000, 11.71696900; 1850.00000000, 11.70910600; 1860.00000000, 11.70221900; 1870.00000000, 11.69656900; 1880.00000000, 11.69238600; 1890.00000000, 11.68983800; 1900.00000000, 11.68904400; 1910.00000000, 11.69005100; 1920.00000000, 11.69284900; 1930.00000000, 11.69735900; 1940.00000000, 11.70345000; 1950.00000000, 11.71126100; 1960.00000000, 11.71987600]) annotation(
+    Placement(visible = true, transformation(origin = {-84, -24}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
+  Modelica.Blocks.Sources.TimeTable timeTable_u1(table = [0.00000000, 10.89064200; 10.00000000, 11.01342300; 20.00000000, 10.60607400; 30.00000000, 10.52653900; 40.00000000, 11.53882900; 50.00000000, 9.09083990; 60.00000000, 11.06597900; 70.00000000, 9.91092710; 80.00000000, 9.09962740; 90.00000000, 9.43705990; 100.00000000, 8.66602880; 110.00000000, 9.94606950; 120.00000000, 11.59062500; 130.00000000, 11.63683200; 140.00000000, 8.24225730; 150.00000000, 10.01809200; 160.00000000, 10.06516800; 170.00000000, 9.27613180; 180.00000000, 11.94656800; 190.00000000, 9.06457800; 200.00000000, 8.36293160; 210.00000000, 11.79105700; 220.00000000, 10.00282800; 230.00000000, 9.10832720; 240.00000000, 11.65527000; 250.00000000, 10.11899000; 260.00000000, 9.85778330; 270.00000000, 11.76392000; 280.00000000, 8.20033590; 290.00000000, 11.08081800; 300.00000000, 11.31126900; 310.00000000, 8.50146150; 320.00000000, 10.75382100; 330.00000000, 11.47298900; 340.00000000, 10.94489800; 350.00000000, 10.90164800; 360.00000000, 11.99783200; 370.00000000, 8.93277950; 380.00000000, 10.00000000; 390.00000000, 10.00000000; 400.00000000, 10.00000000; 410.00000000, 10.00000000; 420.00000000, 10.00000000; 430.00000000, 10.00000000; 440.00000000, 10.00000000; 450.00000000, 10.00000000; 460.00000000, 10.00000000; 470.00000000, 10.00000000; 480.00000000, 10.00000000; 490.00000000, 10.00000000; 500.00000000, 10.00000000; 510.00000000, 10.00000000; 520.00000000, 10.00000000; 530.00000000, 10.00000000; 540.00000000, 10.00000000; 550.00000000, 10.00000000; 560.00000000, 10.00000000; 570.00000000, 10.00000000; 580.00000000, 10.00000000; 590.00000000, 10.00000000; 600.00000000, 10.00000000; 610.00000000, 10.00000000; 620.00000000, 10.00000000; 630.00000000, 10.00000000; 640.00000000, 10.00000000; 650.00000000, 10.00000000; 660.00000000, 11.96797200; 670.00000000, 11.95844600; 680.00000000, 8.45447100; 690.00000000, 8.55393050; 700.00000000, 8.66152030; 710.00000000, 11.87600000; 720.00000000, 9.84969780; 730.00000000, 11.57732400; 740.00000000, 11.76732500; 750.00000000, 11.90334100; 760.00000000, 8.49802550; 770.00000000, 9.43989000; 780.00000000, 8.98420680; 790.00000000, 11.92676000; 800.00000000, 11.65465600; 810.00000000, 11.20931200; 820.00000000, 8.06460770; 830.00000000, 11.87057700; 840.00000000, 11.99982400; 850.00000000, 11.85112500; 860.00000000, 11.44514900; 870.00000000, 10.83831900; 880.00000000, 10.11497500; 890.00000000, 9.37565150; 900.00000000, 8.72310290; 910.00000000, 8.24802360; 920.00000000, 8.01644230; 930.00000000, 8.06054530; 940.00000000, 8.37420290; 950.00000000, 8.91382150; 960.00000000, 9.60440240; 970.00000000, 10.34996500; 980.00000000, 11.04688800; 990.00000000, 11.59831000; 1000.00000000, 11.92759100; 1010.00000000, 11.98896600; 1020.00000000, 11.77390500; 1030.00000000, 9.50691340; 1040.00000000, 10.20143400; 1050.00000000, 10.87153000; 1060.00000000, 11.43594900; 1070.00000000, 11.82625300; 1080.00000000, 11.99511500; 1090.00000000, 11.92206000; 1100.00000000, 11.61594700; 1110.00000000, 11.11389300; 1120.00000000, 10.47677400; 1130.00000000, 9.78184390; 1140.00000000, 9.11336650; 1150.00000000, 8.55239750; 1160.00000000, 8.16695690; 1170.00000000, 8.00378120; 1180.00000000, 8.08265610; 1190.00000000, 8.39401770; 1200.00000000, 8.90011210; 1210.00000000, 9.53957280; 1220.00000000, 10.23486300; 1230.00000000, 10.90167400; 1240.00000000, 11.45915300; 1250.00000000, 11.83970400; 1260.00000000, 8.02602590; 1270.00000000, 8.01066460; 1280.00000000, 8.02102580; 1290.00000000, 8.00637580; 1300.00000000, 11.99070200; 1310.00000000, 8.00397460; 1320.00000000, 8.05640310; 1330.00000000, 8.16820250; 1340.00000000, 8.33595770; 1350.00000000, 8.55454420; 1360.00000000, 8.81728490; 1370.00000000, 9.11615400; 1380.00000000, 9.44202180; 1390.00000000, 9.78493420; 1400.00000000, 10.13441600; 1410.00000000, 10.47979200; 1420.00000000, 10.81051200; 1430.00000000, 11.11647300; 1440.00000000, 11.38832900; 1450.00000000, 11.61777600; 1460.00000000, 11.79780600; 1470.00000000, 11.92291700; 1480.00000000, 11.98929000; 1490.00000000, 11.99489500; 1500.00000000, 11.93956300; 1510.00000000, 11.82498300; 1520.00000000, 11.65465600; 1530.00000000, 11.43378400; 1540.00000000, 11.16911400; 1550.00000000, 10.86873100; 1560.00000000, 10.54181200; 1570.00000000, 10.19834100; 1580.00000000, 9.84881210; 1590.00000000, 9.50390140; 1600.00000000, 9.17414490; 1610.00000000, 8.86961580; 1620.00000000, 8.59961640; 1630.00000000, 8.37239440; 1640.00000000, 8.19489080; 1650.00000000, 8.07252770; 1660.00000000, 8.00904290; 1670.00000000, 8.00637580; 1680.00000000, 8.06460770; 1690.00000000, 8.18196000; 1700.00000000, 8.35484770; 1710.00000000, 8.57798980; 1720.00000000, 8.84456990; 1730.00000000, 9.14644490; 1740.00000000, 9.47439330; 1750.00000000, 9.81839740; 1760.00000000, 10.16794900; 1770.00000000, 10.51237000; 1780.00000000, 10.84114000; 1790.00000000, 11.14421600; 1800.00000000, 11.41233900; 1810.00000000, 11.63732000; 1820.00000000, 11.81228500; 1830.00000000, 11.93189100; 1840.00000000, 11.99248400; 1850.00000000, 11.99221200; 1860.00000000, 11.93108500; 1870.00000000, 11.81096800; 1880.00000000, 11.63553300; 1890.00000000, 11.41013600; 1900.00000000, 11.14166500; 1910.00000000, 10.83831900; 1920.00000000, 10.50936500; 1930.00000000, 10.16485100; 1940.00000000, 9.81530190; 1950.00000000, 9.47139470; 1960.00000000, 9.14363470]) annotation(
+    Placement(visible = true, transformation(origin = {-86, 70}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
+  NeuralNetwork.Utilities.SamplerMIMO sampler(nin = 3, nout = 3, samplePeriod = 10) annotation(
+    Placement(visible = true, transformation(origin = {18, 30}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
+  Modelica.Blocks.Sources.TimeTable timeTable_u2(table = [0.00000000, 1.00000000; 10.00000000, 1.00000000; 20.00000000, 1.00000000; 30.00000000, 1.00000000; 40.00000000, 1.00000000; 50.00000000, 1.00000000; 60.00000000, 1.00000000; 70.00000000, 1.00000000; 80.00000000, 1.00000000; 90.00000000, 1.00000000; 100.00000000, 1.00000000; 110.00000000, 1.00000000; 120.00000000, 1.00000000; 130.00000000, 1.00000000; 140.00000000, 1.00000000; 150.00000000, 1.00000000; 160.00000000, 1.00000000; 170.00000000, 1.00000000; 180.00000000, 1.00000000; 190.00000000, 1.00000000; 200.00000000, 1.00000000; 210.00000000, 1.00000000; 220.00000000, 0.00000000; 230.00000000, 0.00000000; 240.00000000, 0.00000000; 250.00000000, 0.00000000; 260.00000000, 0.00000000; 270.00000000, 0.00000000; 280.00000000, 0.00000000; 290.00000000, 0.00000000; 300.00000000, 0.00000000; 310.00000000, 0.00000000; 320.00000000, 0.00000000; 330.00000000, 0.00000000; 340.00000000, 0.00000000; 350.00000000, 0.00000000; 360.00000000, 0.00000000; 370.00000000, 0.00000000; 380.00000000, 0.00000000; 390.00000000, 0.00000000; 400.00000000, 0.00000000; 410.00000000, 0.00000000; 420.00000000, 0.00000000; 430.00000000, 0.00000000; 440.00000000, 0.00000000; 450.00000000, 0.00000000; 460.00000000, 0.00000000; 470.00000000, 2.00000000; 480.00000000, 2.00000000; 490.00000000, 2.00000000; 500.00000000, 2.00000000; 510.00000000, 2.00000000; 520.00000000, 2.00000000; 530.00000000, 2.00000000; 540.00000000, 2.00000000; 550.00000000, 2.00000000; 560.00000000, 2.00000000; 570.00000000, 2.00000000; 580.00000000, 2.00000000; 590.00000000, 2.00000000; 600.00000000, 2.00000000; 610.00000000, 2.00000000; 620.00000000, 2.00000000; 630.00000000, 2.00000000; 640.00000000, 2.00000000; 650.00000000, 2.00000000; 660.00000000, 2.00000000; 670.00000000, 2.00000000; 680.00000000, 2.00000000; 690.00000000, 2.00000000; 700.00000000, 2.00000000; 710.00000000, 2.00000000; 720.00000000, 0.00000000; 730.00000000, 0.00000000; 740.00000000, 0.00000000; 750.00000000, 0.00000000; 760.00000000, 0.00000000; 770.00000000, 0.00000000; 780.00000000, 0.00000000; 790.00000000, 0.00000000; 800.00000000, 0.00000000; 810.00000000, 0.00000000; 820.00000000, 0.00000000; 830.00000000, 0.00000000; 840.00000000, 0.00000000; 850.00000000, 0.00000000; 860.00000000, 0.00000000; 870.00000000, 0.00000000; 880.00000000, 0.00000000; 890.00000000, 0.00000000; 900.00000000, 0.00000000; 910.00000000, 0.00000000; 920.00000000, 0.00000000; 930.00000000, 0.00000000; 940.00000000, 0.00000000; 950.00000000, 0.00000000; 960.00000000, 0.00000000; 970.00000000, 1.00000000; 980.00000000, 1.00000000; 990.00000000, 1.00000000; 1000.00000000, 1.00000000; 1010.00000000, 1.00000000; 1020.00000000, 1.00000000; 1030.00000000, 1.00000000; 1040.00000000, 1.00000000; 1050.00000000, 1.00000000; 1060.00000000, 1.00000000; 1070.00000000, 1.00000000; 1080.00000000, 1.00000000; 1090.00000000, 1.00000000; 1100.00000000, 1.00000000; 1110.00000000, 1.00000000; 1120.00000000, 1.00000000; 1130.00000000, 1.00000000; 1140.00000000, 1.00000000; 1150.00000000, 1.00000000; 1160.00000000, 1.00000000; 1170.00000000, 1.00000000; 1180.00000000, 1.00000000; 1190.00000000, 1.00000000; 1200.00000000, 1.00000000; 1210.00000000, 1.00000000; 1220.00000000, 0.00000000; 1230.00000000, 0.00000000; 1240.00000000, 0.00000000; 1250.00000000, 0.00000000; 1260.00000000, 0.00000000; 1270.00000000, 0.00000000; 1280.00000000, 0.00000000; 1290.00000000, 0.00000000; 1300.00000000, 0.00000000; 1310.00000000, 0.00000000; 1320.00000000, 0.00000000; 1330.00000000, 0.00000000; 1340.00000000, 0.00000000; 1350.00000000, 0.00000000; 1360.00000000, 0.00000000; 1370.00000000, 0.00000000; 1380.00000000, 0.00000000; 1390.00000000, 0.00000000; 1400.00000000, 0.00000000; 1410.00000000, 0.00000000; 1420.00000000, 0.00000000; 1430.00000000, 0.00000000; 1440.00000000, 0.00000000; 1450.00000000, 0.00000000; 1460.00000000, 0.00000000; 1470.00000000, 2.00000000; 1480.00000000, 2.00000000; 1490.00000000, 2.00000000; 1500.00000000, 2.00000000; 1510.00000000, 2.00000000; 1520.00000000, 2.00000000; 1530.00000000, 2.00000000; 1540.00000000, 2.00000000; 1550.00000000, 2.00000000; 1560.00000000, 2.00000000; 1570.00000000, 2.00000000; 1580.00000000, 2.00000000; 1590.00000000, 2.00000000; 1600.00000000, 2.00000000; 1610.00000000, 2.00000000; 1620.00000000, 2.00000000; 1630.00000000, 2.00000000; 1640.00000000, 2.00000000; 1650.00000000, 2.00000000; 1660.00000000, 2.00000000; 1670.00000000, 2.00000000; 1680.00000000, 2.00000000; 1690.00000000, 2.00000000; 1700.00000000, 2.00000000; 1710.00000000, 2.00000000; 1720.00000000, 2.00000000; 1730.00000000, 2.00000000; 1740.00000000, 2.00000000; 1750.00000000, 2.00000000; 1760.00000000, 2.00000000; 1770.00000000, 2.00000000; 1780.00000000, 2.00000000; 1790.00000000, 2.00000000; 1800.00000000, 2.00000000; 1810.00000000, 2.00000000; 1820.00000000, 2.00000000; 1830.00000000, 2.00000000; 1840.00000000, 2.00000000; 1850.00000000, 2.00000000; 1860.00000000, 2.00000000; 1870.00000000, 2.00000000; 1880.00000000, 2.00000000; 1890.00000000, 2.00000000; 1900.00000000, 2.00000000; 1910.00000000, 2.00000000; 1920.00000000, 2.00000000; 1930.00000000, 2.00000000; 1940.00000000, 2.00000000; 1950.00000000, 2.00000000; 1960.00000000, 2.00000000]) annotation(
+    Placement(visible = true, transformation(origin = {-84, 30}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
+  Modelica.Blocks.Routing.Replicator replicator(nout = 1) annotation(
+    Placement(visible = true, transformation(origin = {-56, 70}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
+  Modelica.Blocks.Routing.Replicator replicator1(nout = 1) annotation(
+    Placement(visible = true, transformation(origin = {-54, 30}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
+  Modelica.Blocks.Routing.Multiplex3 multiplex3 annotation(
+    Placement(visible = true, transformation(origin = {-14, 30}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
+  NeuralNetwork.Network.NARX_MISO_3_Layer nARX_MISO_3_Layer annotation(
+    Placement(visible = true, transformation(origin = {82, 30}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
+equation
+  connect(sampler.y, timeDelay.u) annotation(
+    Line(points = {{29, 30}, {38, 30}}, color = {0, 0, 127}, thickness = 0.5));
+  connect(timeTable_u1.y, replicator.u) annotation(
+    Line(points = {{-75, 70}, {-68, 70}}, color = {0, 0, 127}));
+  connect(timeTable_u2.y, replicator1.u) annotation(
+    Line(points = {{-73, 30}, {-66, 30}}, color = {0, 0, 127}));
+  connect(replicator1.y, multiplex3.u2) annotation(
+    Line(points = {{-43, 30}, {-26, 30}}, color = {0, 0, 127}, thickness = 0.5));
+  connect(replicator.y, multiplex3.u1) annotation(
+    Line(points = {{-45, 70}, {-40, 70}, {-40, 37}, {-26, 37}}, color = {0, 0, 127}, thickness = 0.5));
+  connect(multiplex3.y, sampler.u) annotation(
+    Line(points = {{-3, 30}, {6, 30}}, color = {0, 0, 127}, thickness = 0.5));
+  connect(timeDelay.y, nARX_MISO_3_Layer.u) annotation(
+    Line(points = {{62, 30}, {70, 30}}, color = {0, 0, 127}, thickness = 0.5));
+  connect(nARX_MISO_3_Layer.y, multiplex3.u3) annotation(
+    Line(points = {{94, 30}, {96, 30}, {96, 8}, {-40, 8}, {-40, 24}, {-26, 24}}, color = {0, 0, 127}, thickness = 0.5));
+  annotation(
+    experiment(StartTime = 0, StopTime = 1, Tolerance = 1e-06, Interval = 0.002));
+end NARX_MISO;
diff --git a/NeuralNetwork/Examples/package.mo b/NeuralNetwork/Examples/package.mo
new file mode 100644
index 0000000..e9d6f61
--- /dev/null
+++ b/NeuralNetwork/Examples/package.mo
@@ -0,0 +1,5 @@
+within NeuralNetwork;
+
+package Examples
+  extends Modelica.Icons.ExamplesPackage;
+end Examples;
diff --git a/NeuralNetwork/Examples/package.order b/NeuralNetwork/Examples/package.order
new file mode 100644
index 0000000..cce8ff3
--- /dev/null
+++ b/NeuralNetwork/Examples/package.order
@@ -0,0 +1 @@
+NARX_MISO
diff --git a/NeuralNetwork/Layer/Dense_Hidden_Layer.mo b/NeuralNetwork/Layer/Dense_Hidden_Layer.mo
new file mode 100644
index 0000000..574bf4d
--- /dev/null
+++ b/NeuralNetwork/Layer/Dense_Hidden_Layer.mo
@@ -0,0 +1,18 @@
+within NeuralNetwork.Layer;
+
+block Dense_Hidden_Layer "Block for a dense neural network layer"
+  parameter Real bias[:] "Bias table of a fully connected layer";
+  parameter Real weights[:, :] "Weight table of a fully connected layer";
+  parameter NeuralNetwork.Activation_Function.Type_Activation_Function NeuronActivation_Function = NeuralNetwork.Activation_Function.ReLu "Activation function of the layer";
+  parameter Integer numInputs "Specification of the inputs of the layer";
+  parameter Integer numNeurons "Number of neurons in the layer";
+  extends Modelica.Blocks.Interfaces.MIMO(final nin = numInputs, final nout = numNeurons);
+equation
+  if NeuronActivation_Function == NeuralNetwork.Activation_Function.ReLu then
+    y = NeuralNetwork.Utilities.ReLu(weights * u + bias);
+  elseif NeuronActivation_Function == NeuralNetwork.Activation_Function.Sigmoid then
+    y = NeuralNetwork.Utilities.Sigmoid(weights * u + bias);
+  elseif NeuronActivation_Function == NeuralNetwork.Activation_Function.Hyperbolic_tangent then
+    y = Modelica.Math.tanh(weights * u + bias);
+  end if;
+end Dense_Hidden_Layer;
diff --git a/NeuralNetwork/Layer/Input_Hidden_Layer.mo b/NeuralNetwork/Layer/Input_Hidden_Layer.mo
new file mode 100644
index 0000000..ff46d02
--- /dev/null
+++ b/NeuralNetwork/Layer/Input_Hidden_Layer.mo
@@ -0,0 +1,52 @@
+within NeuralNetwork.Layer;
+
+block Input_Hidden_Layer "Block for a dense input neural network layer with optional normalization"
+  // Topology neural network
+  parameter Real bias[:] "Bias table of the input-layer";
+  parameter Real weights[:, :] "Weight table of the input-layer ";
+  parameter NeuralNetwork.Activation_Function.Type_Activation_Function NeuronActivation_Function = NeuralNetwork.Activation_Function.ReLu "Activation function of the layer";
+  parameter Integer numInputs "Specification of the inputs of the layer";
+  parameter Integer numNeurons "Number of neurons in the layer";
+  // PCA
+  parameter Boolean pca = false "Reducing the feature space based on a PCA";
+  parameter Integer dimFeatures = numInputs "Dimension of the new feature space";
+  parameter Real transMatrix[dimFeatures, numInputs] "Transformation Matrix, based on the eigenvectors of the covariance matrix from all the training features";
+  // Data preprocessing
+  parameter Real mean_pca[numInputs] "Mean of all the feature dimension for standardization";
+  parameter Real std_pca[numInputs] "Standard deviation for each dimension of the training features";
+  parameter Boolean scale = false "Scale the inputs with min-max normalization to [0,1]";
+  parameter Real max[:] "Maximum for each dimension of the training inputs";
+  parameter Real min[:] "Minimum for each dimension of the training inputs";
+  parameter Boolean standardization = false "Standardize the inputs with mu-sigma standardization";
+  parameter Real mean[:] "Estimated mean for each dimension of the training inputs";
+  parameter Real std[:] "Estimated standard deviation for each dimension of the training inputs";
+  // Additional variables
+  Real uPCA[dimFeatures] "Help variable for a reduced input space (needed when using PCA)";
+  Real uu[dimFeatures] "Help variable for 'u' (needed when using standardization and/or when using scaling)";
+  extends Modelica.Blocks.Interfaces.MIMO(final nin = numInputs, final nout = numNeurons);
+equation
+  // Check if feature shell be reduced
+  if pca then
+    uPCA = transMatrix * ((u - mean_pca) ./ std_pca);
+  else
+    uPCA = u;
+  end if;
+  // Check if scale and/or standardize of the features should be performed
+  if standardization and scale then
+    uu = ((uPCA - mean) ./ std - min) ./ (max - min);
+  elseif standardization then
+    uu = (uPCA - mean) ./ std;
+  elseif scale then
+    uu = (uPCA - min) ./ (max - min);
+  else
+    uu = uPCA;
+  end if;
+  // Choose the correct activation function
+  if NeuronActivation_Function == NeuralNetwork.Activation_Function.ReLu then
+    y = NeuralNetwork.Utilities.ReLu(weights * uu + bias);
+  elseif NeuronActivation_Function == NeuralNetwork.Activation_Function.Sigmoid then
+    y = NeuralNetwork.Utilities.Sigmoid(weights * uu + bias);
+  elseif NeuronActivation_Function == NeuralNetwork.Activation_Function.Hyperbolic_tangent then
+    y = Modelica.Math.tanh(weights * uu + bias);
+  end if;
+end Input_Hidden_Layer;
diff --git a/NeuralNetwork/Layer/Output_Hidden_Layer.mo b/NeuralNetwork/Layer/Output_Hidden_Layer.mo
new file mode 100644
index 0000000..9b074cf
--- /dev/null
+++ b/NeuralNetwork/Layer/Output_Hidden_Layer.mo
@@ -0,0 +1,30 @@
+within NeuralNetwork.Layer;
+
+block Output_Hidden_Layer "Block for the last hidden neural network layer with a linear activation function."
+  // Topology of the neural network
+  parameter Real bias[:] "Bias table of the output-layer";
+  parameter Real weights[:, :] "Weight table of the output-layer";
+  parameter Integer numInputs "Specification of the inputs of the layer";
+  parameter Integer numNeurons "Number of neurons in the layer";
+  // Parameters for optional rescaling or destandardization
+  parameter Boolean rescale = false "Rescale the outputs with min-max denormalization";
+  parameter Real max[:] "Maximum for each dimension of the training outputs";
+  parameter Real min[:] "Minimum for each dimension of the training outputs";
+  parameter Boolean destandardization = false "Destandardize the inputs with mu-sigma";
+  parameter Real mean[:] "Estimated mean for each dimension of the training targets";
+  parameter Real std[:] "Estimated standard deviation for each dimension of the training targets";
+  // Additional variables for rescaling/destandardization
+  Real yy[numNeurons] "Help Variable for 'y' (using recaling or destandardization of the outputs)";
+  extends Modelica.Blocks.Interfaces.MIMO(final nin = numInputs, final nout = numNeurons);
+equation
+  // Calculate the output with lineare activation
+  yy = weights * u + bias;
+  // Check if targets need to be rescaled or destandardized
+  if rescale then
+    y = yy .* (max - min) + min;
+  elseif destandardization then
+    y = yy .* std + mean;
+  else
+    y = yy;
+  end if;
+end Output_Hidden_Layer;
diff --git a/NeuralNetwork/Layer/package.mo b/NeuralNetwork/Layer/package.mo
new file mode 100644
index 0000000..2a48ba3
--- /dev/null
+++ b/NeuralNetwork/Layer/package.mo
@@ -0,0 +1,4 @@
+within NeuralNetwork;
+
+package Layer
+end Layer;
diff --git a/NeuralNetwork/Layer/package.order b/NeuralNetwork/Layer/package.order
new file mode 100644
index 0000000..9f2a348
--- /dev/null
+++ b/NeuralNetwork/Layer/package.order
@@ -0,0 +1,3 @@
+Input_Hidden_Layer
+Dense_Hidden_Layer
+Output_Hidden_Layer
diff --git a/NeuralNetwork/Network/NARX_MISO_3_Layer.mo b/NeuralNetwork/Network/NARX_MISO_3_Layer.mo
new file mode 100644
index 0000000..ff03189
--- /dev/null
+++ b/NeuralNetwork/Network/NARX_MISO_3_Layer.mo
@@ -0,0 +1,15 @@
+within NeuralNetwork.Network;
+
+block NARX_MISO_3_Layer
+  // This represents a three layer neural network with a given time delay
+  parameter NeuralNetwork.Activation_Function.Type_Activation_Function ActivationFunction = NeuralNetwork.Activation_Function.ReLu;
+  NeuralNetwork.Layer.Input_Hidden_Layer Layer_1(bias = {-0.00000677, 0.20556270, -0.00000132, -0.00000881, -0.00002842, -0.02957853, -0.02369246, -0.00018398, 0.57354265, -0.02597237, -0.00040900, -0.00000582, -0.00000060, 0.46941766, -0.00000007, -0.00001206, -0.00132889, -0.06358027, -0.00029233, -0.00006202, 0.20907070, -0.00067263, 0.23418750, 0.49982220, -0.02735407, 0.17065620, -0.02715359, -0.00007624, -0.00000116, -0.02525282, -0.73274541, 0.00625872}, weights = [0.00000000, 0.00000000, 0.00000000, 0.00000000, -0.00000000, -0.00000000, 0.00000000, -0.00000000, 0.00000000, 0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000; 0.01148210, 0.02394460, 0.03269602, 0.04737446, 0.04980696, 0.03527141, -0.01759291, -0.07528974, -0.00083422, -0.03597534, 0.11129925, 0.05073337, 0.04893982, 0.08150365; 0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.00000000; 0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, -0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000; -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000; -0.00000000, 0.00000000, -0.00000000, 0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, -0.00000000, 0.00000000; 0.01515650, 0.04878670, 0.05150823, 0.06884916, 0.08002514, -0.04919670, -0.08695026, -0.08965225, -0.00541104, -0.03111144, -0.06747811, 0.02595856, 0.01372857, 0.04122690; -0.00000000, -0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, -0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000; -0.04535032, 0.00498473, 0.02044221, 0.01351460, 0.01960177, -0.16836794, -0.15731904, -0.11525007, -0.19605175, -0.02404964, -0.28225809, -0.06302790, -0.07704613, -0.02766303; 0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.00000000, 0.00000000, -0.00000000; -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.00000000, -0.00000000, -0.00000000; -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.00000000, -0.00000000, 0.00000000, 0.00000000, -0.00000000, 0.00000000; 0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, -0.00000000, 0.00000000, 0.00000000, -0.00000000, 0.00000000, 0.00000000; -0.01270886, -0.02601493, -0.02534346, -0.02927498, -0.03594387, 0.01970444, 0.02857363, 0.01998473, 0.07175292, 0.04983358, 0.21977326, 0.07192747, 0.08172151, 0.06045971; -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000; 0.00000000, 0.00000000, 0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000; 0.00000000, 0.00000000, 0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000; 0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, -0.00000000, 0.00000000, -0.00000000, 0.00000000, 0.00000000, 0.00000000; -0.00000000, -0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, -0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000; 0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.00000000, -0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000; 0.02022521, -0.00494087, -0.03298891, -0.08079954, -0.12769963, -0.03970061, -0.04870627, -0.08014055, -0.03758072, 0.01726430, -0.01789061, -0.03645414, -0.02007496, -0.01944990; 0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.00000000, -0.00000000, 0.00000000, -0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000; -0.04019403, 0.01207309, 0.02828477, -0.00631922, -0.04793349, -0.14113855, -0.09849922, -0.05588385, -0.30489972, -0.00035877, 0.23892163, 0.11477421, 0.12122019, 0.18259160; -0.00096706, 0.00506048, 0.00505329, 0.00487248, 0.02331740, 0.01282553, 0.01576681, 0.01200896, -0.00388218, -0.02317935, -0.19768406, -0.14873609, -0.11727488, -0.16773771; 0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000; -0.00181524, 0.00101943, 0.00604395, 0.01458251, 0.01517012, 0.03147725, -0.00111446, -0.04127125, 0.02333362, -0.01939497, 0.10737097, 0.04166425, 0.04179076, 0.05422665; 0.00000000, 0.00000000, -0.00000000, 0.00000000, -0.00000000, -0.00000000, 0.00000000, -0.00000000, 0.00000000, -0.00000000, -0.00000000, 0.00000000, -0.00000000, 0.00000000; -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.00000000, -0.00000000, -0.00000000, 0.00000000, -0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000; 0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, -0.00000000, 0.00000000, -0.00000000, 0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.00000000, 0.00000000; 0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.00000000, -0.00000000; 0.10835370, -0.06687686, -0.08516762, 0.00163639, -0.01949299, 0.27197844, 0.22464167, 0.15060697, 0.49622747, 0.03319209, 0.79951191, 0.15807885, 0.01158971, 0.06415213; -0.00899850, -0.00043999, 0.05325294, 0.11440736, 0.16661036, 0.04696987, 0.07134484, 0.05588490, 0.12287147, -0.13335720, -0.04430202, -0.07544848, -0.03252205, -0.03692830], NeuronActivation_Function = ActivationFunction, numInputs = 14, numNeurons = 32, scale = true, max = {12.00000000, 12.00000000, 12.00000000, 12.00000000, 12.00000000, 2.00000000, 2.00000000, 2.00000000, 2.00000000, 2.00000000, 11.79242300, 11.78412200, 11.77998500, 11.79961200}, min = {8.00000000, 8.00000000, 8.00000000, 8.00000000, 8.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, 3.69310190, 3.69310190, 3.69310190, 3.69634820}, standardization = false, mean = {0.0}, std = {1.0});
+  NeuralNetwork.Layer.Dense_Hidden_Layer Layer_2(bias = {-0.01915434, 0.54542047, 0.38827929, 0.43106887, 0.27880254, -0.02492376, 0.51309705, -0.00801731, -0.03952867, -0.14912339, -0.01643608, 0.15713434, 0.52502894, 0.03786519, -0.05118470, -0.02619821, 0.09674487, 0.59679657, 0.48414156, 0.42411724, 0.39085755, 0.43997148, -0.00006288, 0.39918363, -0.02014719, 0.27829495, 0.46513379, 0.40009546, 0.07611608, 0.02437924, -0.03650025, 0.42580885}, weights = [0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.00000000, -0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.00000000, -0.00000000, 0.00000000, -0.00000000, -0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000; 0.00000000, 0.02033915, -0.00000000, -0.00000000, 0.00000000, -0.00000000, -0.02677462, -0.00000000, -0.03843058, -0.00000000, 0.00000000, -0.00000000, 0.00000000, 0.03960535, -0.00000000, -0.00000000, -0.00000000, 0.00000000, -0.00000000, 0.00000000, 0.01462730, -0.00000000, 0.10641428, 0.05693106, 0.00000000, 0.01441677, -0.00000000, 0.00000000, -0.00000000, 0.00000000, 0.09148402, 0.02076523; 0.00000000, 0.01831713, -0.00000000, 0.00000000, -0.00000000, 0.00000000, -0.02421064, 0.00000000, -0.03492328, 0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.03554850, 0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.01321609, -0.00000000, 0.09643669, 0.05172635, -0.00000000, 0.01268163, -0.00000000, -0.00000000, 0.00000000, -0.00000000, 0.08272880, 0.01901596; 0.00000000, 0.01476185, -0.00000000, 0.00000000, -0.00000000, 0.00000000, -0.01950085, 0.00000000, -0.02851804, 0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.02866575, -0.00000000, -0.00000000, 0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.01060588, -0.00000000, 0.07862175, 0.04218091, -0.00000000, 0.00975204, 0.00000000, -0.00000000, 0.00000000, 0.00000000, 0.06712793, 0.01580628; -0.00000000, -0.04358716, 0.00000000, -0.00000000, 0.00000000, 0.00000000, 0.09172313, 0.00000000, 0.22089690, -0.00000000, -0.00000000, -0.00000000, 0.00000000, -0.14887220, -0.00000003, -0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, -0.05732058, 0.00000000, 0.00165331, -0.06901682, 0.00000000, -0.06475877, 0.00000000, 0.00000000, 0.00000000, 0.00000000, -0.60638016, -0.18798055; -0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.00000000, -0.00000000, 0.00000000, -0.00000000, 0.00000000, -0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, -0.00000000, 0.00000000, 0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.00000000, -0.00000000; 0.00000000, 0.02231461, 0.00000000, 0.00000000, -0.00000000, 0.00000000, -0.02932483, -0.00000000, -0.04189985, 0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.04353061, 0.00000000, 0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.00000000, 0.01604093, -0.00000000, 0.11601456, 0.06209017, 0.00000000, 0.01615614, 0.00000000, 0.00000000, 0.00000000, -0.00000000, 0.10000756, 0.02251084; 0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, -0.00000000, 0.00000000, 0.00000000, 0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.00000000, -0.00000000, 0.00000000, -0.00000000, 0.00000000, 0.00000000, -0.00000000, -0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.00000000, -0.00000000, 0.00000000, 0.00000000, -0.00000000, 0.00000000; 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0.00000000, -0.13386822, -0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.01033292, -0.00000000, -0.08326538, -0.00000000, -0.00000000, -0.00000000, 0.00000000, -0.06589526, -0.00000021, -0.00000000, -0.00000000, 0.00000000, 0.00000000, -0.00000000, -0.10168553, -0.00000000, -0.24509241, 0.05432525, -0.00000000, -0.08383916, -0.00000000, 0.00000000, -0.00000000, 0.00000000, -0.31760672, 0.01381478; 0.00000000, 0.01656600, -0.00000000, -0.00000000, 0.00000000, 0.00000000, -0.02186172, 0.00000000, -0.03173976, -0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.03218666, -0.00000000, 0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.00000000, 0.01190922, -0.00000000, 0.08772123, 0.04697436, -0.00000000, 0.01121687, 0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.07504684, 0.01741255; 0.00000000, 0.00650703, 0.00000000, -0.00000000, 0.00000000, -0.00000000, 0.04343292, -0.00000000, -0.00194937, 0.00000000, -0.00000000, 0.00000000, -0.00000000, 0.00314710, 0.00000000, 0.00000000, 0.00000000, -0.00000000, 0.00000000, 0.00000000, -0.01935952, 0.00000000, -0.09928755, -0.12504199, -0.00000000, 0.00901626, 0.00000000, 0.00000000, -0.00000000, -0.00000000, 0.05365934, -0.00429454; -0.00000000, 0.00000000, 0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, -0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.00000000, -0.00000000, 0.00000000, 0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.00000000, -0.00000000, -0.00000000; 0.00000000, 0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.00000000, -0.00000000, 0.00000000, -0.00000000, -0.00000000, 0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.00000000, -0.00000000, 0.00000000, -0.00000000, 0.00000000, -0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.00000000; 0.00000000, -0.00336043, -0.00000000, -0.00000000, 0.00000000, 0.00000000, 0.05041763, 0.00000000, 0.12452780, 0.00000000, 0.00000000, 0.00000000, -0.00000000, -0.04959872, -0.00000000, 0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.03149405, 0.00000000, 0.01328286, -0.02063970, 0.00000000, -0.01233911, -0.00000000, 0.00000000, -0.00000000, 0.00000000, -0.34318835, -0.09177328; 0.00000000, 0.02742709, 0.00000000, -0.00000000, 0.00000000, -0.00000000, -0.03568268, -0.00000000, -0.05057772, 0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.05405186, 0.00000000, -0.00000000, 0.00000000, -0.00000000, 0.00000000, -0.00000000, 0.01955806, 0.00000000, 0.14026183, 0.07495627, -0.00000000, 0.02082428, -0.00000000, -0.00000000, 0.00000000, -0.00000000, 0.12162793, 0.02688108; 0.00000000, 0.01776022, 0.00000000, 0.00000000, -0.00000000, 0.00000000, -0.02344150, 0.00000000, -0.03388722, -0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.03450274, -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.01278511, -0.00000000, 0.09368134, 0.05017508, -0.00000000, 0.01221110, -0.00000000, -0.00000000, 0.00000000, 0.00000000, 0.08027846, 0.01848996; 0.00000000, 0.01982622, 0.00000000, 0.00000000, 0.00000000, -0.00000000, -0.02616323, -0.00000000, -0.03758462, 0.00000000, 0.00000000, 0.00000000, -0.00000000, 0.03853025, -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.01429531, -0.00000000, 0.10388876, 0.05568302, -0.00000000, 0.01397303, 0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.08928947, 0.02034846; 0.00000000, 0.01532690, 0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.02026312, 0.00000000, -0.02955243, 0.00000000, -0.00000000, 0.00000000, 0.00000000, 0.02974384, 0.00000000, -0.00000000, 0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.01102965, -0.00000000, 0.08147462, 0.04372600, -0.00000000, 0.01020621, -0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.06962059, 0.01632598; -0.00000000, 0.01910154, 0.00000000, -0.00000000, 0.00000000, -0.00000000, -0.02521192, -0.00000000, -0.03629214, 0.00000000, -0.00000000, 0.00000000, 0.00000000, 0.03711227, 0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.01376749, -0.00000000, 0.10032278, 0.05375842, -0.00000000, 0.01334919, -0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.08613534, 0.01969858; 0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.00000000, -0.00000000, 0.00000000, 0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.00000000, -0.00000000, -0.00000000, 0.00000000, -0.00000000, 0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000; 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0.00000000, 0.01317616, -0.00000000, 0.00000000, 0.00000000, -0.00000000, -0.01738205, -0.00000000, -0.02563333, -0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.02561846, -0.00000000, -0.00000000, 0.00000000, 0.00000000, 0.00000000, -0.00000000, 0.00943192, 0.00000000, 0.07055416, 0.03787792, 0.00000000, 0.00850314, 0.00000000, 0.00000000, -0.00000000, -0.00000000, 0.06012494, 0.01436388; 0.00000000, 0.01373236, 0.00000000, -0.00000000, -0.00000000, 0.00000000, -0.01813805, -0.00000000, -0.02665946, 0.00000000, 0.00000000, -0.00000000, 0.00000000, 0.02667431, 0.00000000, -0.00000000, 0.00000000, 0.00000000, -0.00000000, -0.00000000, 0.00985253, 0.00000000, 0.07338718, 0.03941282, 0.00000000, 0.00893699, -0.00000000, 0.00000000, -0.00000000, -0.00000000, 0.06258811, 0.01487955; -0.00000000, -0.10520969, 0.00000000, 0.00000000, 0.00000000, 0.00000000, -0.01699085, -0.00000000, 0.11431125, -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.09078978, -0.00000004, -0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.00680501, 0.00000000, -0.17576256, 0.16684854, 0.00000000, -0.07960509, -0.00000000, -0.00000000, 0.00000000, -0.00000000, -0.20395678, 0.03099011; -0.00000000, 0.09761555, -0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.05571820, 0.00000000, -0.01778105, -0.00000000, 0.00000000, 0.00000000, -0.00000000, -0.01195812, -0.00000001, -0.00000000, -0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.08814743, -0.00000000, 0.04592023, -0.15450069, 0.00000000, 0.06108851, -0.00000000, -0.00000000, -0.00000000, 0.00000000, -0.51417750, -0.05864717; 0.00000000, 0.00000000, 0.00000000, -0.00000000, -0.00000000, 0.00000000, -0.00000000, 0.00000000, -0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.00000000, 0.00000000, -0.00000000, 0.00000000, -0.00000000; -0.00000000, 0.01053307, 0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.01384466, -0.00000000, -0.02080311, 0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.02053364, -0.00000000, 0.00000000, 0.00000000, 0.00000000, -0.00000000, 0.00000000, 0.00747495, 0.00000000, 0.05692909, 0.03067375, 0.00000000, 0.00651125, 0.00000000, 0.00000000, -0.00000000, -0.00000000, 0.04839816, 0.01195795], NeuronActivation_Function = ActivationFunction, numInputs = 32, numNeurons = 32);
+  NeuralNetwork.Layer.Output_Hidden_Layer Layer_3(bias = {0.38119549}, weights = [-0.20471907, 1.43495905, 1.30388153, 1.06038094, -8.76593208, -0.32832265, 1.56641781, -0.32070431, -0.15100922, -0.84189320, -0.05972841, -17.17411995, 1.18185210, -2.50973272, -0.14151685, -0.11161833, -5.19643021, 1.89217937, 1.26354647, 1.40430164, 1.09998930, 1.35513151, -0.31533393, 1.05400574, -0.14657310, -7.38095713, 0.95071983, 0.99007541, -9.05296898, -9.84933472, -0.33525518, 0.76771533], numInputs = 32, numNeurons = 1, rescale = false, max = {1.0}, min = {0.0}, destandardization = false, mean = {0.0}, std = {1.0});
+  extends Modelica.Blocks.Interfaces.MIMO(final nin = 14, final nout = 1);
+equation
+  connect(u, Layer_1.u);
+  connect(Layer_1.y, Layer_2.u);
+  connect(Layer_2.y, Layer_3.u);
+  connect(Layer_3.y, y);
+end NARX_MISO_3_Layer;
diff --git a/NeuralNetwork/Network/package.mo b/NeuralNetwork/Network/package.mo
new file mode 100644
index 0000000..d68df6b
--- /dev/null
+++ b/NeuralNetwork/Network/package.mo
@@ -0,0 +1,4 @@
+within NeuralNetwork;
+
+package Network
+end Network;
diff --git a/NeuralNetwork/Network/package.order b/NeuralNetwork/Network/package.order
new file mode 100644
index 0000000..446e4f2
--- /dev/null
+++ b/NeuralNetwork/Network/package.order
@@ -0,0 +1 @@
+NARX_MISO_3_Layer
diff --git a/NeuralNetwork/Utilities/ReLu.mo b/NeuralNetwork/Utilities/ReLu.mo
new file mode 100644
index 0000000..49d05fa
--- /dev/null
+++ b/NeuralNetwork/Utilities/ReLu.mo
@@ -0,0 +1,8 @@
+within NeuralNetwork.Utilities;
+
+function ReLu
+  input Real u "Input of the function";
+  output Real y "Output of the function";
+algorithm
+  y := max(0.0, u);
+end ReLu;
diff --git a/NeuralNetwork/Utilities/SamplerMIMO.mo b/NeuralNetwork/Utilities/SamplerMIMO.mo
new file mode 100644
index 0000000..f604477
--- /dev/null
+++ b/NeuralNetwork/Utilities/SamplerMIMO.mo
@@ -0,0 +1,10 @@
+within NeuralNetwork.Utilities;
+
+block SamplerMIMO "Make continuous signals discrete with a definded sample rate"
+  extends Modelica.Blocks.Interfaces.DiscreteMIMO;
+equation
+  // For every sample point the given output is the input at this time
+  when {sampleTrigger, initial()} then
+    y = u;
+  end when;
+end SamplerMIMO;
diff --git a/NeuralNetwork/Utilities/Sigmoid.mo b/NeuralNetwork/Utilities/Sigmoid.mo
new file mode 100644
index 0000000..1ad0030
--- /dev/null
+++ b/NeuralNetwork/Utilities/Sigmoid.mo
@@ -0,0 +1,8 @@
+within NeuralNetwork.Utilities;
+
+function Sigmoid
+  input Real u "Input of the function";
+  output Real y "Output of the function";
+algorithm
+  y := 1 / (1 + Modelica.Math.exp(-u));
+end Sigmoid;
diff --git a/NeuralNetwork/Utilities/TimeDelay.mo b/NeuralNetwork/Utilities/TimeDelay.mo
new file mode 100644
index 0000000..a0b4485
--- /dev/null
+++ b/NeuralNetwork/Utilities/TimeDelay.mo
@@ -0,0 +1,34 @@
+within NeuralNetwork.Utilities;
+
+block TimeDelay
+  extends Modelica.Blocks.Interfaces.DiscreteMIMO;
+  // Store the initial delayed inputs here
+  parameter Real y_start[nout] = fill(0.0, nout) "Initial (already delayed) output signal";
+  parameter Integer numInputs = 1 "Number of the system Inputs";
+  parameter Integer numOutputs = 1 "Number of the system Outputs";
+  // Delay of inputs: delay+1
+  parameter Integer delay = 1 "Shift of the Inputs and Outputs";
+equation
+  // At every discrete time step store the new input at 1. Position of feature vector
+  when sampleTrigger then
+    for i in 1:nout loop
+      // Shift the old entries one position behind and delete the latest inputsignal for each Inputsource
+      if i <= numInputs * (delay + 1) then
+        if mod(i, delay + 1) == 1 then
+          y[i] = u[integer(i / (delay + 1)) + 1];
+        else
+          y[i] = pre(y[i - 1]);
+        end if;
+      // Shift the old values one position behind, the oldest entry will be deleted for each Outputsignal
+      else
+        if mod(i - numInputs * (delay + 1), delay) == 1 then
+          y[i] = pre(u[numInputs + 1 + integer((i - numInputs * (delay + 1))/ delay)]);
+        else
+          y[i] = pre(y[i - 1]);
+        end if;
+      end if;
+    end for;
+  end when;
+initial equation
+  y = y_start;
+end TimeDelay;
diff --git a/NeuralNetwork/Utilities/package.mo b/NeuralNetwork/Utilities/package.mo
new file mode 100644
index 0000000..36f0d70
--- /dev/null
+++ b/NeuralNetwork/Utilities/package.mo
@@ -0,0 +1,4 @@
+within NeuralNetwork;
+
+package Utilities
+end Utilities;
diff --git a/NeuralNetwork/Utilities/package.order b/NeuralNetwork/Utilities/package.order
new file mode 100644
index 0000000..ff2c75f
--- /dev/null
+++ b/NeuralNetwork/Utilities/package.order
@@ -0,0 +1,4 @@
+Sigmoid
+SamplerMIMO
+ReLu
+TimeDelay
diff --git a/NeuralNetwork/package.mo b/NeuralNetwork/package.mo
index da40d09..aaa38c9 100644
--- a/NeuralNetwork/package.mo
+++ b/NeuralNetwork/package.mo
@@ -1,235 +1,22 @@
 package NeuralNetwork
-  package Layer
-    block Input_Hidden_Layer "Block for a dense input neural network layer with optional normalization"
-      // Topology neural network
-      parameter Real bias[:] "Bias table of the input-layer";
-      parameter Real weights[:, :] "Weight table of the input-layer ";
-      parameter NeuralNetwork.Activation_Function.Type_Activation_Function NeuronActivation_Function = NeuralNetwork.Activation_Function.ReLu "Activation function of the layer";
-      parameter Integer numInputs "Specification of the inputs of the layer";
-      parameter Integer numNeurons "Number of neurons in the layer";
-      // PCA
-      parameter Boolean pca = false "Reducing the feature space based on a PCA";
-      parameter Integer dimFeatures = numInputs "Dimension of the new feature space";
-      parameter Real transMatrix[dimFeatures, numInputs] "Transformation Matrix, based on the eigenvectors of the covariance matrix from all the training features";
-      // Data preprocessing
-      parameter Real mean_pca[numInputs] "Mean of all the feature dimension for standardization";
-      parameter Real std_pca[numInputs] "Standard deviation for each dimension of the training features";
-      parameter Boolean scale = false "Scale the inputs with min-max normalization to [0,1]";
-      parameter Real max[:] "Maximum for each dimension of the training inputs";
-      parameter Real min[:] "Minimum for each dimension of the training inputs";
-      parameter Boolean standardization = false "Standardize the inputs with mu-sigma standardization";
-      parameter Real mean[:] "Estimated mean for each dimension of the training inputs";
-      parameter Real std[:] "Estimated standard deviation for each dimension of the training inputs";
-      // Additional variables
-      Real uPCA[dimFeatures] "Help variable for a reduced input space (needed when using PCA)";
-      Real uu[dimFeatures] "Help variable for 'u' (needed when using standardization and/or when using scaling)";
-      extends Modelica.Blocks.Interfaces.MIMO(final nin = numInputs, final nout = numNeurons);
-    equation
-// Check if feature shell be reduced
-      if pca then
-        uPCA = transMatrix * ((u - mean_pca) ./ std_pca);
-      else
-        uPCA = u;
-      end if;
-// Check if scale and/or standardize of the features should be performed
-      if standardization and scale then
-        uu = ((uPCA - mean) ./ std - min) ./ (max - min);
-      elseif standardization then
-        uu = (uPCA - mean) ./ std;
-      elseif scale then
-        uu = (uPCA - min) ./ (max - min);
-      else
-        uu = uPCA;
-      end if;
-// Choose the correct activation function
-      if NeuronActivation_Function == NeuralNetwork.Activation_Function.ReLu then
-        y = NeuralNetwork.Utilities.ReLu(weights * uu + bias);
-      elseif NeuronActivation_Function == NeuralNetwork.Activation_Function.Sigmoid then
-        y = NeuralNetwork.Utilities.Sigmoid(weights * uu + bias);
-      elseif NeuronActivation_Function == NeuralNetwork.Activation_Function.Hyperbolic_tangent then
-        y = Modelica.Math.tanh(weights * uu + bias);
-      end if;
-    end Input_Hidden_Layer;
-
-    block Dense_Hidden_Layer "Block for a dense neural network layer"
-      parameter Real bias[:] "Bias table of a fully connected layer";
-      parameter Real weights[:, :] "Weight table of a fully connected layer";
-      parameter NeuralNetwork.Activation_Function.Type_Activation_Function NeuronActivation_Function = NeuralNetwork.Activation_Function.ReLu "Activation function of the layer";
-      parameter Integer numInputs "Specification of the inputs of the layer";
-      parameter Integer numNeurons "Number of neurons in the layer";
-      extends Modelica.Blocks.Interfaces.MIMO(final nin = numInputs, final nout = numNeurons);
-    equation
-      if NeuronActivation_Function == NeuralNetwork.Activation_Function.ReLu then
-        y = NeuralNetwork.Utilities.ReLu(weights * u + bias);
-      elseif NeuronActivation_Function == NeuralNetwork.Activation_Function.Sigmoid then
-        y = NeuralNetwork.Utilities.Sigmoid(weights * u + bias);
-      elseif NeuronActivation_Function == NeuralNetwork.Activation_Function.Hyperbolic_tangent then
-        y = Modelica.Math.tanh(weights * u + bias);
-      end if;
-    end Dense_Hidden_Layer;
-
-    block Output_Hidden_Layer "Block for the last hidden neural network layer with a linear activation function."
-      // Topology of the neural network
-      parameter Real bias[:] "Bias table of the output-layer";
-      parameter Real weights[:, :] "Weight table of the output-layer";
-      parameter Integer numInputs "Specification of the inputs of the layer";
-      parameter Integer numNeurons "Number of neurons in the layer";
-      // Parameters for optional rescaling or destandardization
-      parameter Boolean rescale = false "Rescale the outputs with min-max denormalization";
-      parameter Real max[:] "Maximum for each dimension of the training outputs";
-      parameter Real min[:] "Minimum for each dimension of the training outputs";
-      parameter Boolean destandardization = false "Destandardize the inputs with mu-sigma";
-      parameter Real mean[:] "Estimated mean for each dimension of the training targets";
-      parameter Real std[:] "Estimated standard deviation for each dimension of the training targets";
-      // Additional variables for rescaling/destandardization
-      Real yy[numNeurons] "Help Variable for 'y' (using recaling or destandardization of the outputs)";
-      extends Modelica.Blocks.Interfaces.MIMO(final nin = numInputs, final nout = numNeurons);
-    equation
-// Calculate the output with lineare activation
-      yy = weights * u + bias;
-// Check if targets need to be rescaled or destandardized
-      if rescale then
-        y = yy .* (max - min) + min;
-      elseif destandardization then
-        y = yy .* std + mean;
-      else
-        y = yy;
-      end if;
-    end Output_Hidden_Layer;
-  end Layer;
-
-  package Activation_Function
-    constant Integer ReLu = 0;
-    constant Integer Sigmoid = 1;
-    constant Integer Hyperbolic_tangent = 2;
-
-    type Type_Activation_Function "Temporary type of ActivationFunction with choices for menus (until enumerations are available)"
-      extends Integer;
-      annotation(
-        choices(choice = NeuralNetwork.ActivationFunction.Type_Activation_Function.ReLu "ReLu activation function", choice = NeuralNetwork.ActivationFunction.Type_Activation_Function.Sigmoid "Sigmoid activation function", choise = NeuralNetwork.ActivationFunction.Type_Activation_Function.Hyperbolic_tangent "Tanh activation function"));
-    end Type_Activation_Function;
-  end Activation_Function;
-
-  package Utilities
-    function Sigmoid
-      input Real u "Input of the function";
-      output Real y "Output of the function";
-    algorithm
-      y := 1 / (1 + Modelica.Math.exp(-u));
-    end Sigmoid;
-
-    block SamplerMIMO "Make continuous signals discrete with a definded sample rate"
-      extends Modelica.Blocks.Interfaces.DiscreteMIMO;
-    equation
-// For every sample point the given output is the input at this time
-      when {sampleTrigger, initial()} then
-        y = u;
-      end when;
-    end SamplerMIMO;
-
-    function ReLu
-      input Real u "Input of the function";
-      output Real y "Output of the function";
-    algorithm
-      y := max(0.0, u);
-    end ReLu;
-
-    block TimeDelay
-      extends Modelica.Blocks.Interfaces.DiscreteMIMO;
-      // Store the initial delayed inputs here
-      parameter Real y_start[nout] = fill(0.0, nout) "Initial (already delayed) output signal";
-      parameter Integer numInputs = 1 "Number of the system Inputs";
-      parameter Integer numOutputs = 1 "Number of the system Outputs";
-      // Delay of inputs: delay+1
-      parameter Integer delay = 1 "Shift of the Inputs and Outputs";
-    equation
-// At every discrete time step store the new input at 1. Position of feature vector
-      when sampleTrigger then
-        for i in 1:nout loop
-// Shift the old entries one position behind and delete the latest inputsignal for each Inputsource
-          if i <= numInputs * (delay + 1) then
-            if mod(i, delay + 1) == 1 then
-              y[i] = u[integer(i / (delay + 1)) + 1];
-            else
-              y[i] = pre(y[i - 1]);
-            end if;
-// Shift the old values one position behind, the oldest entry will be deleted for each Outputsignal
-          else
-            if mod(i - numInputs * (delay + 1), delay) == 1 then
-              y[i] = pre(u[numInputs + 1 + integer((i - numInputs * (delay + 1))/ delay)]);
-            else
-              y[i] = pre(y[i - 1]);
-            end if;
-          end if;
-        end for;
-      end when;
-    initial equation
-      y = y_start;
-    end TimeDelay;
-  end Utilities;
-
-  package Network
-  block
-NARX_MISO_3_Layer
-  // This represents a three layer neural network with a given time delay
-  parameter NeuralNetwork.Activation_Function.Type_Activation_Function ActivationFunction = NeuralNetwork.Activation_Function.ReLu;
-      NeuralNetwork.Layer.Input_Hidden_Layer Layer_1(bias = {-0.00000677, 0.20556270, -0.00000132, -0.00000881, -0.00002842, -0.02957853, -0.02369246, -0.00018398, 0.57354265, -0.02597237, -0.00040900, -0.00000582, -0.00000060, 0.46941766, -0.00000007, -0.00001206, -0.00132889, -0.06358027, -0.00029233, -0.00006202, 0.20907070, -0.00067263, 0.23418750, 0.49982220, -0.02735407, 0.17065620, -0.02715359, -0.00007624, -0.00000116, -0.02525282, -0.73274541, 0.00625872}, weights = [0.00000000, 0.00000000, 0.00000000, 0.00000000, -0.00000000, -0.00000000, 0.00000000, -0.00000000, 0.00000000, 0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000; 0.01148210, 0.02394460, 0.03269602, 0.04737446, 0.04980696, 0.03527141, -0.01759291, -0.07528974, -0.00083422, -0.03597534, 0.11129925, 0.05073337, 0.04893982, 0.08150365; 0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.00000000; 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-      NeuralNetwork.Layer.Dense_Hidden_Layer Layer_2(bias = {-0.01915434, 0.54542047, 0.38827929, 0.43106887, 0.27880254, -0.02492376, 0.51309705, -0.00801731, -0.03952867, -0.14912339, -0.01643608, 0.15713434, 0.52502894, 0.03786519, -0.05118470, -0.02619821, 0.09674487, 0.59679657, 0.48414156, 0.42411724, 0.39085755, 0.43997148, -0.00006288, 0.39918363, -0.02014719, 0.27829495, 0.46513379, 0.40009546, 0.07611608, 0.02437924, -0.03650025, 0.42580885}, weights = [0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.00000000, -0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000, 0.00000000, -0.00000000, 0.00000000, -0.00000000, -0.00000000, 0.00000000, -0.00000000, -0.00000000, -0.00000000, -0.00000000; 0.00000000, 0.02033915, -0.00000000, -0.00000000, 0.00000000, -0.00000000, -0.02677462, -0.00000000, -0.03843058, -0.00000000, 0.00000000, -0.00000000, 0.00000000, 0.03960535, -0.00000000, -0.00000000, -0.00000000, 0.00000000, -0.00000000, 0.00000000, 0.01462730, -0.00000000, 0.10641428, 0.05693106, 0.00000000, 0.01441677, -0.00000000, 0.00000000, -0.00000000, 0.00000000, 0.09148402, 0.02076523; 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-      NeuralNetwork.Layer.Output_Hidden_Layer Layer_3(bias = {0.38119549}, weights = [-0.20471907, 1.43495905, 1.30388153, 1.06038094, -8.76593208, -0.32832265, 1.56641781, -0.32070431, -0.15100922, -0.84189320, -0.05972841, -17.17411995, 1.18185210, -2.50973272, -0.14151685, -0.11161833, -5.19643021, 1.89217937, 1.26354647, 1.40430164, 1.09998930, 1.35513151, -0.31533393, 1.05400574, -0.14657310, -7.38095713, 0.95071983, 0.99007541, -9.05296898, -9.84933472, -0.33525518, 0.76771533], numInputs = 32, numNeurons = 1, rescale = false, max = {1.0}, min = {0.0}, destandardization = false, mean = {0.0}, std = {1.0});
-      extends Modelica.Blocks.Interfaces.MIMO(final nin = 14, final nout = 1);
-    equation
-      connect(u, Layer_1.u);
-      connect(Layer_1.y, Layer_2.u);
-      connect(Layer_2.y, Layer_3.u);
-      connect(Layer_3.y, y);
-    end    NARX_MISO_3_Layer;
-  end Network;
-
-  package Examples
-    model
-    NARX_MISO
-        NeuralNetwork.Utilities.TimeDelay timeDelay(delay = 4, nin = 3, nout = 14, numInputs = 2, numOutputs = 1, samplePeriod = 10, y_start = {10.89064200, 11.93020100, 9.46135470, 11.02564200, 8.87583670, 1.00000000, 1.00000000, 1.00000000, 1.00000000, 1.00000000, 10.95541600, 10.89493000, 10.83935000, 6.91290870}) annotation(
-          Placement(visible = true, transformation(origin = {50, 30}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
-        Modelica.Blocks.Sources.TimeTable timeTable_y(table = [0.00000000, 10.96989000; 10.00000000, 10.98481300; 20.00000000, 10.99991500; 30.00000000, 11.01624200; 40.00000000, 11.02986000; 50.00000000, 11.04274700; 60.00000000, 11.07037400; 70.00000000, 11.07719000; 80.00000000, 11.09499900; 90.00000000, 11.11799100; 100.00000000, 11.13570800; 110.00000000, 11.15447000; 120.00000000, 11.14974300; 130.00000000, 11.13681100; 140.00000000, 11.14483100; 150.00000000, 11.15262500; 160.00000000, 11.15818700; 170.00000000, 11.16584900; 180.00000000, 11.15498700; 190.00000000, 11.14579800; 200.00000000, 11.16485500; 210.00000000, 11.17683500; 220.00000000, 11.05917800; 230.00000000, 10.89493600; 240.00000000, 10.61499300; 250.00000000, 9.83171040; 260.00000000, 6.00605160; 270.00000000, 5.62466230; 280.00000000, 5.40523860; 290.00000000, 5.24967910; 300.00000000, 5.11683850; 310.00000000, 5.02158460; 320.00000000, 4.94281880; 330.00000000, 4.85275750; 340.00000000, 4.77398730; 350.00000000, 4.70344430; 360.00000000, 4.63440890; 370.00000000, 4.56664700; 380.00000000, 4.51319900; 390.00000000, 4.46079100; 400.00000000, 4.41068460; 410.00000000, 4.36280420; 420.00000000, 4.31692130; 430.00000000, 4.27297520; 440.00000000, 4.23089310; 450.00000000, 4.19051930; 460.00000000, 4.15251140; 470.00000000, 4.61637610; 480.00000000, 5.01807170; 490.00000000, 5.53889850; 500.00000000, 10.24042500; 510.00000000, 10.86452600; 520.00000000, 11.09112000; 530.00000000, 11.22622800; 540.00000000, 11.31971200; 550.00000000, 11.38933500; 560.00000000, 11.44359700; 570.00000000, 11.48717900; 580.00000000, 11.52290000; 590.00000000, 11.55268500; 600.00000000, 11.57781000; 610.00000000, 11.59922400; 620.00000000, 11.61761400; 630.00000000, 11.63352000; 640.00000000, 11.64734400; 650.00000000, 11.65939700; 660.00000000, 11.66995000; 670.00000000, 11.67185200; 680.00000000, 11.68091300; 690.00000000, 11.69747400; 700.00000000, 11.71143100; 710.00000000, 11.70714300; 720.00000000, 11.63178700; 730.00000000, 11.56676000; 740.00000000, 11.48116900; 750.00000000, 11.38007300; 760.00000000, 11.28674300; 770.00000000, 11.17064200; 780.00000000, 11.04649300; 790.00000000, 10.84968200; 800.00000000, 10.49536500; 810.00000000, 6.74840670; 820.00000000, 5.72856670; 830.00000000, 5.45858660; 840.00000000, 5.22510510; 850.00000000, 5.06010540; 860.00000000, 4.93300440; 870.00000000, 4.82998470; 880.00000000, 4.74421840; 890.00000000, 4.67149200; 900.00000000, 4.60873690; 910.00000000, 4.55369730; 920.00000000, 4.50411610; 930.00000000, 4.45791150; 940.00000000, 4.41295170; 950.00000000, 4.36788610; 960.00000000, 4.32256360; 970.00000000, 4.52928920; 980.00000000, 4.70843880; 990.00000000, 4.86370190; 1000.00000000, 5.00653950; 1010.00000000, 5.14547680; 1020.00000000, 5.28960150; 1030.00000000, 5.45470500; 1040.00000000, 5.66265160; 1050.00000000, 5.97640290; 1060.00000000, 6.65716480; 1070.00000000, 9.87379140; 1080.00000000, 10.22147000; 1090.00000000, 10.39435700; 1100.00000000, 10.51103100; 1110.00000000, 10.60595800; 1120.00000000, 10.69237700; 1130.00000000, 10.77397900; 1140.00000000, 10.85062100; 1150.00000000, 10.92198100; 1160.00000000, 10.98659400; 1170.00000000, 11.04301300; 1180.00000000, 11.09040500; 1190.00000000, 11.12751400; 1200.00000000, 11.15439200; 1210.00000000, 11.16866800; 1220.00000000, 11.03553500; 1230.00000000, 10.84121700; 1240.00000000, 10.50506600; 1250.00000000, 6.74296370; 1260.00000000, 5.75899650; 1270.00000000, 5.45554250; 1280.00000000, 5.28681040; 1290.00000000, 5.15660300; 1300.00000000, 5.01874200; 1310.00000000, 4.89487360; 1320.00000000, 4.82140060; 1330.00000000, 4.75407650; 1340.00000000, 4.69075990; 1350.00000000, 4.63056880; 1360.00000000, 4.57282390; 1370.00000000, 4.51702030; 1380.00000000, 4.46279230; 1390.00000000, 4.40991390; 1400.00000000, 4.35832460; 1410.00000000, 4.30801920; 1420.00000000, 4.25905720; 1430.00000000, 4.21160890; 1440.00000000, 4.16583700; 1450.00000000, 4.12196630; 1460.00000000, 4.08085670; 1470.00000000, 4.57378080; 1480.00000000, 4.97097610; 1490.00000000, 5.43481470; 1500.00000000, 9.62003460; 1510.00000000, 10.73946800; 1520.00000000, 11.00129800; 1530.00000000, 11.15003000; 1540.00000000, 11.25201300; 1550.00000000, 11.32866700; 1560.00000000, 11.38989400; 1570.00000000, 11.44085100; 1580.00000000, 11.48455100; 1590.00000000, 11.52298200; 1600.00000000, 11.55732300; 1610.00000000, 11.58842100; 1620.00000000, 11.61675500; 1630.00000000, 11.64268500; 1640.00000000, 11.66635100; 1650.00000000, 11.68779700; 1660.00000000, 11.70707900; 1670.00000000, 11.72413900; 1680.00000000, 11.73899600; 1690.00000000, 11.75158700; 1700.00000000, 11.76191700; 1710.00000000, 11.76995000; 1720.00000000, 11.77572300; 1730.00000000, 11.77923700; 1740.00000000, 11.78058300; 1750.00000000, 11.77985600; 1760.00000000, 11.77721000; 1770.00000000, 11.77285400; 1780.00000000, 11.76699900; 1790.00000000, 11.75993800; 1800.00000000, 11.75193500; 1810.00000000, 11.74331700; 1820.00000000, 11.73439600; 1830.00000000, 11.72550300; 1840.00000000, 11.71696900; 1850.00000000, 11.70910600; 1860.00000000, 11.70221900; 1870.00000000, 11.69656900; 1880.00000000, 11.69238600; 1890.00000000, 11.68983800; 1900.00000000, 11.68904400; 1910.00000000, 11.69005100; 1920.00000000, 11.69284900; 1930.00000000, 11.69735900; 1940.00000000, 11.70345000; 1950.00000000, 11.71126100; 1960.00000000, 11.71987600]) annotation(
-          Placement(visible = true, transformation(origin = {-84, -24}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
-        Modelica.Blocks.Sources.TimeTable timeTable_u1(table = [0.00000000, 10.89064200; 10.00000000, 11.01342300; 20.00000000, 10.60607400; 30.00000000, 10.52653900; 40.00000000, 11.53882900; 50.00000000, 9.09083990; 60.00000000, 11.06597900; 70.00000000, 9.91092710; 80.00000000, 9.09962740; 90.00000000, 9.43705990; 100.00000000, 8.66602880; 110.00000000, 9.94606950; 120.00000000, 11.59062500; 130.00000000, 11.63683200; 140.00000000, 8.24225730; 150.00000000, 10.01809200; 160.00000000, 10.06516800; 170.00000000, 9.27613180; 180.00000000, 11.94656800; 190.00000000, 9.06457800; 200.00000000, 8.36293160; 210.00000000, 11.79105700; 220.00000000, 10.00282800; 230.00000000, 9.10832720; 240.00000000, 11.65527000; 250.00000000, 10.11899000; 260.00000000, 9.85778330; 270.00000000, 11.76392000; 280.00000000, 8.20033590; 290.00000000, 11.08081800; 300.00000000, 11.31126900; 310.00000000, 8.50146150; 320.00000000, 10.75382100; 330.00000000, 11.47298900; 340.00000000, 10.94489800; 350.00000000, 10.90164800; 360.00000000, 11.99783200; 370.00000000, 8.93277950; 380.00000000, 10.00000000; 390.00000000, 10.00000000; 400.00000000, 10.00000000; 410.00000000, 10.00000000; 420.00000000, 10.00000000; 430.00000000, 10.00000000; 440.00000000, 10.00000000; 450.00000000, 10.00000000; 460.00000000, 10.00000000; 470.00000000, 10.00000000; 480.00000000, 10.00000000; 490.00000000, 10.00000000; 500.00000000, 10.00000000; 510.00000000, 10.00000000; 520.00000000, 10.00000000; 530.00000000, 10.00000000; 540.00000000, 10.00000000; 550.00000000, 10.00000000; 560.00000000, 10.00000000; 570.00000000, 10.00000000; 580.00000000, 10.00000000; 590.00000000, 10.00000000; 600.00000000, 10.00000000; 610.00000000, 10.00000000; 620.00000000, 10.00000000; 630.00000000, 10.00000000; 640.00000000, 10.00000000; 650.00000000, 10.00000000; 660.00000000, 11.96797200; 670.00000000, 11.95844600; 680.00000000, 8.45447100; 690.00000000, 8.55393050; 700.00000000, 8.66152030; 710.00000000, 11.87600000; 720.00000000, 9.84969780; 730.00000000, 11.57732400; 740.00000000, 11.76732500; 750.00000000, 11.90334100; 760.00000000, 8.49802550; 770.00000000, 9.43989000; 780.00000000, 8.98420680; 790.00000000, 11.92676000; 800.00000000, 11.65465600; 810.00000000, 11.20931200; 820.00000000, 8.06460770; 830.00000000, 11.87057700; 840.00000000, 11.99982400; 850.00000000, 11.85112500; 860.00000000, 11.44514900; 870.00000000, 10.83831900; 880.00000000, 10.11497500; 890.00000000, 9.37565150; 900.00000000, 8.72310290; 910.00000000, 8.24802360; 920.00000000, 8.01644230; 930.00000000, 8.06054530; 940.00000000, 8.37420290; 950.00000000, 8.91382150; 960.00000000, 9.60440240; 970.00000000, 10.34996500; 980.00000000, 11.04688800; 990.00000000, 11.59831000; 1000.00000000, 11.92759100; 1010.00000000, 11.98896600; 1020.00000000, 11.77390500; 1030.00000000, 9.50691340; 1040.00000000, 10.20143400; 1050.00000000, 10.87153000; 1060.00000000, 11.43594900; 1070.00000000, 11.82625300; 1080.00000000, 11.99511500; 1090.00000000, 11.92206000; 1100.00000000, 11.61594700; 1110.00000000, 11.11389300; 1120.00000000, 10.47677400; 1130.00000000, 9.78184390; 1140.00000000, 9.11336650; 1150.00000000, 8.55239750; 1160.00000000, 8.16695690; 1170.00000000, 8.00378120; 1180.00000000, 8.08265610; 1190.00000000, 8.39401770; 1200.00000000, 8.90011210; 1210.00000000, 9.53957280; 1220.00000000, 10.23486300; 1230.00000000, 10.90167400; 1240.00000000, 11.45915300; 1250.00000000, 11.83970400; 1260.00000000, 8.02602590; 1270.00000000, 8.01066460; 1280.00000000, 8.02102580; 1290.00000000, 8.00637580; 1300.00000000, 11.99070200; 1310.00000000, 8.00397460; 1320.00000000, 8.05640310; 1330.00000000, 8.16820250; 1340.00000000, 8.33595770; 1350.00000000, 8.55454420; 1360.00000000, 8.81728490; 1370.00000000, 9.11615400; 1380.00000000, 9.44202180; 1390.00000000, 9.78493420; 1400.00000000, 10.13441600; 1410.00000000, 10.47979200; 1420.00000000, 10.81051200; 1430.00000000, 11.11647300; 1440.00000000, 11.38832900; 1450.00000000, 11.61777600; 1460.00000000, 11.79780600; 1470.00000000, 11.92291700; 1480.00000000, 11.98929000; 1490.00000000, 11.99489500; 1500.00000000, 11.93956300; 1510.00000000, 11.82498300; 1520.00000000, 11.65465600; 1530.00000000, 11.43378400; 1540.00000000, 11.16911400; 1550.00000000, 10.86873100; 1560.00000000, 10.54181200; 1570.00000000, 10.19834100; 1580.00000000, 9.84881210; 1590.00000000, 9.50390140; 1600.00000000, 9.17414490; 1610.00000000, 8.86961580; 1620.00000000, 8.59961640; 1630.00000000, 8.37239440; 1640.00000000, 8.19489080; 1650.00000000, 8.07252770; 1660.00000000, 8.00904290; 1670.00000000, 8.00637580; 1680.00000000, 8.06460770; 1690.00000000, 8.18196000; 1700.00000000, 8.35484770; 1710.00000000, 8.57798980; 1720.00000000, 8.84456990; 1730.00000000, 9.14644490; 1740.00000000, 9.47439330; 1750.00000000, 9.81839740; 1760.00000000, 10.16794900; 1770.00000000, 10.51237000; 1780.00000000, 10.84114000; 1790.00000000, 11.14421600; 1800.00000000, 11.41233900; 1810.00000000, 11.63732000; 1820.00000000, 11.81228500; 1830.00000000, 11.93189100; 1840.00000000, 11.99248400; 1850.00000000, 11.99221200; 1860.00000000, 11.93108500; 1870.00000000, 11.81096800; 1880.00000000, 11.63553300; 1890.00000000, 11.41013600; 1900.00000000, 11.14166500; 1910.00000000, 10.83831900; 1920.00000000, 10.50936500; 1930.00000000, 10.16485100; 1940.00000000, 9.81530190; 1950.00000000, 9.47139470; 1960.00000000, 9.14363470]) annotation(
-          Placement(visible = true, transformation(origin = {-86, 70}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
-        NeuralNetwork.Utilities.SamplerMIMO sampler(nin = 3, nout = 3, samplePeriod = 10) annotation(
-          Placement(visible = true, transformation(origin = {18, 30}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
-        Modelica.Blocks.Sources.TimeTable timeTable_u2(table = [0.00000000, 1.00000000; 10.00000000, 1.00000000; 20.00000000, 1.00000000; 30.00000000, 1.00000000; 40.00000000, 1.00000000; 50.00000000, 1.00000000; 60.00000000, 1.00000000; 70.00000000, 1.00000000; 80.00000000, 1.00000000; 90.00000000, 1.00000000; 100.00000000, 1.00000000; 110.00000000, 1.00000000; 120.00000000, 1.00000000; 130.00000000, 1.00000000; 140.00000000, 1.00000000; 150.00000000, 1.00000000; 160.00000000, 1.00000000; 170.00000000, 1.00000000; 180.00000000, 1.00000000; 190.00000000, 1.00000000; 200.00000000, 1.00000000; 210.00000000, 1.00000000; 220.00000000, 0.00000000; 230.00000000, 0.00000000; 240.00000000, 0.00000000; 250.00000000, 0.00000000; 260.00000000, 0.00000000; 270.00000000, 0.00000000; 280.00000000, 0.00000000; 290.00000000, 0.00000000; 300.00000000, 0.00000000; 310.00000000, 0.00000000; 320.00000000, 0.00000000; 330.00000000, 0.00000000; 340.00000000, 0.00000000; 350.00000000, 0.00000000; 360.00000000, 0.00000000; 370.00000000, 0.00000000; 380.00000000, 0.00000000; 390.00000000, 0.00000000; 400.00000000, 0.00000000; 410.00000000, 0.00000000; 420.00000000, 0.00000000; 430.00000000, 0.00000000; 440.00000000, 0.00000000; 450.00000000, 0.00000000; 460.00000000, 0.00000000; 470.00000000, 2.00000000; 480.00000000, 2.00000000; 490.00000000, 2.00000000; 500.00000000, 2.00000000; 510.00000000, 2.00000000; 520.00000000, 2.00000000; 530.00000000, 2.00000000; 540.00000000, 2.00000000; 550.00000000, 2.00000000; 560.00000000, 2.00000000; 570.00000000, 2.00000000; 580.00000000, 2.00000000; 590.00000000, 2.00000000; 600.00000000, 2.00000000; 610.00000000, 2.00000000; 620.00000000, 2.00000000; 630.00000000, 2.00000000; 640.00000000, 2.00000000; 650.00000000, 2.00000000; 660.00000000, 2.00000000; 670.00000000, 2.00000000; 680.00000000, 2.00000000; 690.00000000, 2.00000000; 700.00000000, 2.00000000; 710.00000000, 2.00000000; 720.00000000, 0.00000000; 730.00000000, 0.00000000; 740.00000000, 0.00000000; 750.00000000, 0.00000000; 760.00000000, 0.00000000; 770.00000000, 0.00000000; 780.00000000, 0.00000000; 790.00000000, 0.00000000; 800.00000000, 0.00000000; 810.00000000, 0.00000000; 820.00000000, 0.00000000; 830.00000000, 0.00000000; 840.00000000, 0.00000000; 850.00000000, 0.00000000; 860.00000000, 0.00000000; 870.00000000, 0.00000000; 880.00000000, 0.00000000; 890.00000000, 0.00000000; 900.00000000, 0.00000000; 910.00000000, 0.00000000; 920.00000000, 0.00000000; 930.00000000, 0.00000000; 940.00000000, 0.00000000; 950.00000000, 0.00000000; 960.00000000, 0.00000000; 970.00000000, 1.00000000; 980.00000000, 1.00000000; 990.00000000, 1.00000000; 1000.00000000, 1.00000000; 1010.00000000, 1.00000000; 1020.00000000, 1.00000000; 1030.00000000, 1.00000000; 1040.00000000, 1.00000000; 1050.00000000, 1.00000000; 1060.00000000, 1.00000000; 1070.00000000, 1.00000000; 1080.00000000, 1.00000000; 1090.00000000, 1.00000000; 1100.00000000, 1.00000000; 1110.00000000, 1.00000000; 1120.00000000, 1.00000000; 1130.00000000, 1.00000000; 1140.00000000, 1.00000000; 1150.00000000, 1.00000000; 1160.00000000, 1.00000000; 1170.00000000, 1.00000000; 1180.00000000, 1.00000000; 1190.00000000, 1.00000000; 1200.00000000, 1.00000000; 1210.00000000, 1.00000000; 1220.00000000, 0.00000000; 1230.00000000, 0.00000000; 1240.00000000, 0.00000000; 1250.00000000, 0.00000000; 1260.00000000, 0.00000000; 1270.00000000, 0.00000000; 1280.00000000, 0.00000000; 1290.00000000, 0.00000000; 1300.00000000, 0.00000000; 1310.00000000, 0.00000000; 1320.00000000, 0.00000000; 1330.00000000, 0.00000000; 1340.00000000, 0.00000000; 1350.00000000, 0.00000000; 1360.00000000, 0.00000000; 1370.00000000, 0.00000000; 1380.00000000, 0.00000000; 1390.00000000, 0.00000000; 1400.00000000, 0.00000000; 1410.00000000, 0.00000000; 1420.00000000, 0.00000000; 1430.00000000, 0.00000000; 1440.00000000, 0.00000000; 1450.00000000, 0.00000000; 1460.00000000, 0.00000000; 1470.00000000, 2.00000000; 1480.00000000, 2.00000000; 1490.00000000, 2.00000000; 1500.00000000, 2.00000000; 1510.00000000, 2.00000000; 1520.00000000, 2.00000000; 1530.00000000, 2.00000000; 1540.00000000, 2.00000000; 1550.00000000, 2.00000000; 1560.00000000, 2.00000000; 1570.00000000, 2.00000000; 1580.00000000, 2.00000000; 1590.00000000, 2.00000000; 1600.00000000, 2.00000000; 1610.00000000, 2.00000000; 1620.00000000, 2.00000000; 1630.00000000, 2.00000000; 1640.00000000, 2.00000000; 1650.00000000, 2.00000000; 1660.00000000, 2.00000000; 1670.00000000, 2.00000000; 1680.00000000, 2.00000000; 1690.00000000, 2.00000000; 1700.00000000, 2.00000000; 1710.00000000, 2.00000000; 1720.00000000, 2.00000000; 1730.00000000, 2.00000000; 1740.00000000, 2.00000000; 1750.00000000, 2.00000000; 1760.00000000, 2.00000000; 1770.00000000, 2.00000000; 1780.00000000, 2.00000000; 1790.00000000, 2.00000000; 1800.00000000, 2.00000000; 1810.00000000, 2.00000000; 1820.00000000, 2.00000000; 1830.00000000, 2.00000000; 1840.00000000, 2.00000000; 1850.00000000, 2.00000000; 1860.00000000, 2.00000000; 1870.00000000, 2.00000000; 1880.00000000, 2.00000000; 1890.00000000, 2.00000000; 1900.00000000, 2.00000000; 1910.00000000, 2.00000000; 1920.00000000, 2.00000000; 1930.00000000, 2.00000000; 1940.00000000, 2.00000000; 1950.00000000, 2.00000000; 1960.00000000, 2.00000000]) annotation(
-          Placement(visible = true, transformation(origin = {-84, 30}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
-        Modelica.Blocks.Routing.Replicator replicator(nout = 1) annotation(
-          Placement(visible = true, transformation(origin = {-56, 70}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
-        Modelica.Blocks.Routing.Replicator replicator1(nout = 1) annotation(
-          Placement(visible = true, transformation(origin = {-54, 30}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
-        Modelica.Blocks.Routing.Multiplex3 multiplex3 annotation(
-          Placement(visible = true, transformation(origin = {-14, 30}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
-    NeuralNetwork.Network.NARX_MISO_3_Layer nARX_MISO_3_Layer annotation(
-          Placement(visible = true, transformation(origin = {82, 30}, extent = {{-10, -10}, {10, 10}}, rotation = 0)));
-      equation
-        connect(sampler.y, timeDelay.u) annotation(
-          Line(points = {{29, 30}, {38, 30}}, color = {0, 0, 127}, thickness = 0.5));
-        connect(timeTable_u1.y, replicator.u) annotation(
-          Line(points = {{-75, 70}, {-68, 70}}, color = {0, 0, 127}));
-        connect(timeTable_u2.y, replicator1.u) annotation(
-          Line(points = {{-73, 30}, {-66, 30}}, color = {0, 0, 127}));
-        connect(replicator1.y, multiplex3.u2) annotation(
-          Line(points = {{-43, 30}, {-26, 30}}, color = {0, 0, 127}, thickness = 0.5));
-        connect(replicator.y, multiplex3.u1) annotation(
-          Line(points = {{-45, 70}, {-40, 70}, {-40, 37}, {-26, 37}}, color = {0, 0, 127}, thickness = 0.5));
-        connect(multiplex3.y, sampler.u) annotation(
-          Line(points = {{-3, 30}, {6, 30}}, color = {0, 0, 127}, thickness = 0.5));
-    connect(timeDelay.y, nARX_MISO_3_Layer.u) annotation(
-          Line(points = {{62, 30}, {70, 30}}, color = {0, 0, 127}, thickness = 0.5));
-    connect(nARX_MISO_3_Layer.y, multiplex3.u3) annotation(
-          Line(points = {{94, 30}, {96, 30}, {96, 8}, {-40, 8}, {-40, 24}, {-26, 24}}, color = {0, 0, 127}, thickness = 0.5));
-      end    NARX_MISO;
-  end Examples;
   annotation(
     version="2.0.0",
     uses(
-      Modelica(version = "4.0.0"),
-      ExternData(version = "2.6.1")
-    )
+      Modelica(version = "4.0.0")
+    ),
+    Documentation(info="<html>
+    <p>
+      NeuralNetwork Modelica library.
+    </p>
+    <h2 id=\"license\">License</h2>
+    <p>
+      This package is licensed with the <a href=\"https://github.com/AMIT-HSBI/NeuralNetwork/blob/v2.0.0/LICENSE\">3-Clause BSD License</a>.
+    </p>
+    <h2 id=\"development-and-contribution\">Development and contribution</h2>
+    <p>
+      Hochschule Bielefeld - University of Applied Sciences and Arts<br>
+      Faculty of Engineering and Mathematics
+    </p>
+    </html>")
   );
 end NeuralNetwork;
diff --git a/NeuralNetwork/package.order b/NeuralNetwork/package.order
new file mode 100644
index 0000000..51eecfe
--- /dev/null
+++ b/NeuralNetwork/package.order
@@ -0,0 +1,5 @@
+Layer
+Activation_Function
+Utilities
+Network
+Examples