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xor_float.net
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36 lines (36 loc) · 1.92 KB
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FANN_FLO_2.1
num_layers=3
learning_rate=0.700000
connection_rate=1.000000
network_type=0
learning_momentum=0.000000
training_algorithm=2
train_error_function=1
train_stop_function=0
cascade_output_change_fraction=0.010000
quickprop_decay=-0.000100
quickprop_mu=1.750000
rprop_increase_factor=1.200000
rprop_decrease_factor=0.500000
rprop_delta_min=0.000000
rprop_delta_max=50.000000
rprop_delta_zero=0.100000
cascade_output_stagnation_epochs=12
cascade_candidate_change_fraction=0.010000
cascade_candidate_stagnation_epochs=12
cascade_max_out_epochs=150
cascade_min_out_epochs=50
cascade_max_cand_epochs=150
cascade_min_cand_epochs=50
cascade_num_candidate_groups=2
bit_fail_limit=3.49999994039535522461e-01
cascade_candidate_limit=1.00000000000000000000e+03
cascade_weight_multiplier=4.00000005960464477539e-01
cascade_activation_functions_count=10
cascade_activation_functions=3 5 7 8 10 11 14 15 16 17
cascade_activation_steepnesses_count=4
cascade_activation_steepnesses=2.50000000000000000000e-01 5.00000000000000000000e-01 7.50000000000000000000e-01 1.00000000000000000000e+00
layer_sizes=3 4 2
scale_included=0
neurons (num_inputs, activation_function, activation_steepness)=(0, 0, 0.00000000000000000000e+00) (0, 0, 0.00000000000000000000e+00) (0, 0, 0.00000000000000000000e+00) (3, 5, 5.00000000000000000000e-01) (3, 5, 5.00000000000000000000e-01) (3, 5, 5.00000000000000000000e-01) (0, 5, 0.00000000000000000000e+00) (4, 5, 5.00000000000000000000e-01) (0, 5, 0.00000000000000000000e+00)
connections (connected_to_neuron, weight)=(0, 9.03022766113281250000e-01) (1, -3.60408735275268554688e+00) (2, 3.63563704490661621094e+00) (0, 5.28541386127471923828e-01) (1, 2.87596440315246582031e+00) (2, -2.84289741516113281250e+00) (0, -7.61887207031250000000e+02) (1, -2.61225605010986328125e+00) (2, 3.24472403526306152344e+00) (3, -1.21026515960693359375e+01) (4, -1.18174695968627929688e+01) (5, -4.27738571166992187500e+00) (6, 3.43658804893493652344e-01)