FANN_FLO_2.1
num_layers=2
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_max_cand_epochs=150
cascade_num_candidate_groups=2
bit_fail_limit=3.49999994039535520000e-001
cascade_candidate_limit=1.00000000000000000000e+003
cascade_weight_multiplier=4.00000005960464480000e-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=2 2
scale_included=0
neurons (num_inputs, activation_function, activation_steepness)=(0, 0, 0.00000000000000000000e+000) (0, 0, 0.00000000000000000000e+000) (2, 5, 5.00000000000000000000e-001) (0, 5, 0.00000000000000000000e+000)
connections (connected_to_neuron, weight)=(0, 1.12651491165161130000e+000) (1, 1.15255856513977050000e+000)