FANN_FLO_2.1 num_layers=4 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=3.49999994039535522461e-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 9 11 11 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) (3, 5, 5.00000000000000000000e-01) (3, 5, 5.00000000000000000000e-01) (3, 5, 5.00000000000000000000e-01) (3, 5, 5.00000000000000000000e-01) (3, 5, 5.00000000000000000000e-01) (0, 5, 0.00000000000000000000e+00) (9, 5, 5.00000000000000000000e-01) (9, 5, 5.00000000000000000000e-01) (9, 5, 5.00000000000000000000e-01) (9, 5, 5.00000000000000000000e-01) (9, 5, 5.00000000000000000000e-01) (9, 5, 5.00000000000000000000e-01) (9, 5, 5.00000000000000000000e-01) (9, 5, 5.00000000000000000000e-01) (9, 5, 5.00000000000000000000e-01) (9, 5, 5.00000000000000000000e-01) (0, 5, 0.00000000000000000000e+00) (11, 5, 5.00000000000000000000e-01) (11, 5, 5.00000000000000000000e-01) (11, 5, 5.00000000000000000000e-01) (11, 5, 5.00000000000000000000e-01) (11, 5, 5.00000000000000000000e-01) (11, 5, 5.00000000000000000000e-01) (11, 5, 5.00000000000000000000e-01) (11, 5, 5.00000000000000000000e-01) (11, 5, 5.00000000000000000000e-01) (11, 5, 5.00000000000000000000e-01) (0, 5, 0.00000000000000000000e+00) connections (connected_to_neuron, weight)=(0, 3.14143002033233642578e-01) (1, 3.10988038778305053711e-01) (2, -1.01096677780151367188e+00) (0, 3.85104298591613769531e-01) (1, -1.41942426562309265137e-01) (2, 2.61225163936614990234e-01) (0, -1.68266181945800781250e+01) (1, 3.46222782135009765625e+00) (2, 4.08737039566040039062e+00) (0, -8.95000621676445007324e-02) (1, -1.09940782189369201660e-01) (2, 6.61605715751647949219e-01) (0, 1.42403066158294677734e+00) (1, -8.52843940258026123047e-01) (2, 4.76211756467819213867e-01) (0, -9.55881118774414062500e-01) (1, 1.19810307025909423828e+00) (2, 1.07944953441619873047e+00) (0, 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