train.net

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=3.49999999999999980000e-001
cascade_candidate_limit=1.00000000000000000000e+003
cascade_weight_multiplier=4.00000000000000020000e-001
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-001 5.00000000000000000000e-001 7.50000000000000000000e-001 1.00000000000000000000e+000 
layer_sizes=8 5 4 
scale_included=0
neurons (num_inputs, activation_function, activation_steepness)=(0, 0, 0.00000000000000000000e+000) (0, 0, 0.00000000000000000000e+000) (0, 0, 0.00000000000000000000e+000) (0, 0, 0.00000000000000000000e+000) (0, 0, 0.00000000000000000000e+000) (0, 0, 0.00000000000000000000e+000) (0, 0, 0.00000000000000000000e+000) (0, 0, 0.00000000000000000000e+000) (8, 6, 1.00000000000000000000e+000) (8, 6, 1.00000000000000000000e+000) (8, 6, 1.00000000000000000000e+000) (8, 6, 1.00000000000000000000e+000) (0, 6, 1.00000000000000000000e+000) (5, 6, 1.00000000000000000000e+000) (5, 6, 1.00000000000000000000e+000) (5, 6, 1.00000000000000000000e+000) (0, 6, 1.00000000000000000000e+000) 
connections (connected_to_neuron, weight)=(0, 4.22198504779487850000e+002) (1, 3.71160374445840720000e+002) (2, 2.73062285142019390000e+002) (3, 4.64391231361776590000e+002) (4, 5.33587302956730130000e+001) (5, 7.68510377034544940000e-001) (6, 2.33928531236946580000e+002) (7, -4.19425839889794590000e+002) (0, 1.42294970398768780000e+002) (1, 4.35308387681841850000e+002) (2, 2.52553606256842610000e+001) (3, 1.26035701833665370000e+002) (4, 1.57303525997325780000e+002) (5, 7.88853298779577020000e+001) (6, 4.28738377399742600000e+002) (7, 6.85933183580636980000e+001) (0, 4.52682749735191460000e+002) (1, 1.13061438409611580000e+002) (2, 3.01346480783075090000e+002) (3, 4.30275398153811690000e+002) (4, 1.46333417085930710000e+002) (5, 3.09438442988321190000e+002) (6, 3.11201496206223960000e+002) (7, 2.03127840831875800000e+002) (0, 2.52508399764075880000e+002) (1, 3.09423374157398940000e+002) (2, 1.47418372912332420000e+002) (3, 4.37207060378044840000e+002) (4, 4.19516252875328060000e+002) (5, 3.38039084078744050000e+002) (6, 3.90885474123060700000e+002) (7, 2.48032956980168820000e+002) (8, 8.91924102287739520000e+001) (9, 9.02622972242534160000e+000) (10, 2.35134037710726260000e+002) (11, 3.17259166236966850000e+002) (12, 1.63557090830057860000e+002) (8, 5.12340251356363300000e+001) (9, 2.69460834551602600000e+002) (10, 3.03320497633889320000e+002) (11, 3.62631416143849490000e+002) (12, -1.29591945931315420000e+002) (8, 3.21116786953061820000e+001) (9, 4.58122597698122260000e+002) (10, 3.63671165477484460000e+002) (11, 4.27065737167373300000e+002) (12, -4.15628494497388600000e+002)