scaling.net

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_min_out_epochs=50
cascade_max_cand_epochs=150
cascade_min_cand_epochs=50
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=4 6 6 2 
scale_included=1
scale_mean_in=1000.451233 1.045002 4.500000 
scale_deviation_in=0.287235 0.028723 2.872281 
scale_new_min_in=-1.000000 -1.000000 -1.000000 
scale_factor_in=1.000000 1.000000 1.000000 
scale_mean_out=1000.494019 
scale_deviation_out=0.812039 
scale_new_min_out=-1.000000 
scale_factor_out=1.000000 
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) (4, 5, 5.00000000000000000000e-001) (4, 5, 5.00000000000000000000e-001) (4, 5, 5.00000000000000000000e-001) (4, 5, 5.00000000000000000000e-001) (4, 5, 5.00000000000000000000e-001) (0, 5, 0.00000000000000000000e+000) (6, 5, 5.00000000000000000000e-001) (6, 5, 5.00000000000000000000e-001) (6, 5, 5.00000000000000000000e-001) (6, 5, 5.00000000000000000000e-001) (6, 5, 5.00000000000000000000e-001) (0, 5, 0.00000000000000000000e+000) (6, 0, 5.00000000000000000000e-001) (0, 0, 0.00000000000000000000e+000) 
connections (connected_to_neuron, weight)=(0, 5.32022537663578990000e-003) (1, 8.88490378856658940000e-002) (2, -5.75534343719482420000e+000) (3, 5.81155729293823240000e+000) (0, -1.68237164616584780000e-001) (1, 2.47852373868227010000e-002) (2, 7.95484259724617000000e-002) (3, 4.62663561105728150000e-001) (0, 1.68471448123455050000e-002) (1, 2.61828415095806120000e-002) (2, 1.79913175106048580000e+000) (3, -8.18661972880363460000e-002) (0, 2.12253808975219730000e-001) (1, -3.15992459654808040000e-002) (2, -4.46822941303253170000e-001) (3, 3.59013766050338750000e-001) (0, -1.32559416815638540000e-002) (1, -1.13684423267841340000e-002) (2, -6.48422017693519590000e-002) (3, 6.60755693912506100000e-001) (4, 8.76134276390075680000e-001) (5, 3.03117364645004270000e-001) (6, 1.61042201519012450000e+000) (7, 2.85480707883834840000e-001) (8, 1.58307027816772460000e+000) (9, 9.30298566818237300000e-001) (4, 2.32018589973449710000e-001) (5, 8.46789777278900150000e-001) (6, 1.14854612350463870000e+001) (7, 1.27215993404388430000e+000) (8, 1.99004287719726560000e+001) (9, 9.10112261772155760000e-001) (4, 1.31163626909255980000e-001) (5, 7.10839569568634030000e-001) (6, -1.09020357131958010000e+001) (7, 1.41850697994232180000e+000) (8, 3.49437296390533450000e-001) (9, 4.08035665750503540000e-001) (4, 6.88884449005126950000e+000) (5, 2.00262947082519530000e+001) (6, 3.98211389780044560000e-001) (7, 1.52808961868286130000e+001) (8, 4.35316419601440430000e+000) (9, 2.30907773971557620000e+000) (4, 5.93038678169250490000e-001) (5, -4.41178411245346070000e-001) (6, 1.16065990924835210000e+000) (7, 1.06269037723541260000e+000) (8, 3.40320438146591190000e-001) (9, -3.55683535337448120000e-001) (10, 1.24202179908752440000e+000) (11, -4.67564201354980470000e+000) (12, -1.03890717029571530000e+000) (13, 1.32923102378845210000e+000) (14, 9.92249298095703120000e+000) (15, 2.96882003545761110000e-001)