FANN_FLO_2.1
num_layers=3
learning_rate=0.700000
connection_rate=1.000000
network_type=0
learning_momentum=0.000000
training_algorithm=1
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=6 7 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) (0, 0, 0.00000000000000000000e+00) (0, 0, 0.00000000000000000000e+00) (0, 0, 0.00000000000000000000e+00) (6, 3, 5.00000000000000000000e-01) (6, 3, 5.00000000000000000000e-01) (6, 3, 5.00000000000000000000e-01) (6, 3, 5.00000000000000000000e-01) (6, 3, 5.00000000000000000000e-01) (6, 3, 5.00000000000000000000e-01) (0, 3, 0.00000000000000000000e+00) (7, 0, 5.00000000000000000000e-01) (0, 0, 0.00000000000000000000e+00) 
connections (connected_to_neuron, weight)=(0, -2.89685893058776855469e+00) (1, -2.21340131759643554688e+00) (2, -6.53899073600769042969e-01) (3, 5.05288600921630859375e-01) (4, -2.12488818168640136719e+00) (5, -3.21228432655334472656e+00) (0, -2.64115977287292480469e+00) (1, 4.38077020645141601562e+00) (2, -2.23532605171203613281e+00) (3, 2.82412099838256835938e+00) (4, -1.78801298141479492188e+00) (5, -2.15510916709899902344e+00) (0, -1.28378415107727050781e+00) (1, -4.66057968139648437500e+00) (2, -3.13344097137451171875e+00) (3, -3.34458440542221069336e-01) (4, 5.57140636444091796875e+00) (5, 4.77392911911010742188e+00) (0, -2.00398230552673339844e+00) (1, 1.77709951996803283691e-01) (2, -4.12612724304199218750e+00) (3, -4.50434893369674682617e-01) (4, 4.67733287811279296875e+00) (5, -7.28608146309852600098e-02) (0, -1.84619712829589843750e+00) (1, -1.72842276096343994141e+00) (2, -3.57149934768676757812e+00) (3, -1.81574237346649169922e+00) (4, 6.00842870771884918213e-02) (5, -2.67083120346069335938e+00) (0, -4.89023780822753906250e+00) (1, -6.48415279388427734375e+00) (2, -3.84839057922363281250e+00) (3, 3.94571590423583984375e+00) (4, -3.12683850526809692383e-01) (5, 3.10192298889160156250e+00) (6, -5.09613215923309326172e-01) (7, 3.94862794876098632812e+00) (8, 6.27435493469238281250e+00) (9, -4.65998220443725585938e+00) (10, -4.07627582550048828125e-01) (11, -2.93442416191101074219e+00) (12, -3.50238943099975585938e+00)