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vale_float.net
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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_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=10 7 5
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) (0, 0, 0.00000000000000000000e+000) (0, 0, 0.00000000000000000000e+000) (10, 5, 5.00000000000000000000e-001) (10, 5, 5.00000000000000000000e-001) (10, 5, 5.00000000000000000000e-001) (10, 5, 5.00000000000000000000e-001) (10, 5, 5.00000000000000000000e-001) (10, 5, 5.00000000000000000000e-001) (0, 5, 0.00000000000000000000e+000) (7, 5, 5.00000000000000000000e-001) (7, 5, 5.00000000000000000000e-001) (7, 5, 5.00000000000000000000e-001) (7, 5, 5.00000000000000000000e-001) (0, 5, 0.00000000000000000000e+000)
connections (connected_to_neuron, weight)=(0, -5.36233127117156980000e-001) (1, -1.41214048862457280000e+000) (2, -4.36041176319122310000e-001) (3, 2.93012428283691410000e+000) (4, -3.68990588188171390000e+000) (5, 2.03776216506958010000e+000) (6, 2.99624633789062500000e+000) (7, 2.48103404045104980000e+000) (8, 3.14740633964538570000e+000) (9, -6.17942074313759800000e-003) (0, 1.77506375312805180000e+000) (1, -1.67563378810882570000e+000) (2, 2.18132638931274410000e+000) (3, -3.46231222152709960000e+000) (4, 2.94764685630798340000e+000) (5, -2.36494612693786620000e+000) (6, -9.07973289489746090000e-001) (7, 6.35652840137481690000e-001) (8, -1.37185943126678470000e+000) (9, 1.70967936515808110000e+000) (0, 3.91036123037338260000e-001) (1, -8.67980360984802250000e-001) (2, 2.05783271789550780000e+000) (3, -3.27777385711669920000e+000) (4, 7.26833999156951900000e-001) (5, 1.42552387714385990000e+000) (6, 5.89815425872802730000e+000) (7, -1.42472457885742190000e+000) (8, -1.23243522644042970000e+000) (9, 1.31407701969146730000e+000) (0, 7.36571311950683590000e-001) (1, 2.06258103251457210000e-001) (2, 7.54606127738952640000e-001) (3, 3.19572186470031740000e+000) (4, -2.75014734268188480000e+000) (5, 1.50000000000000000000e+003) (6, 6.48323608398437500000e+002) (7, 4.40989780426025390000e+000) (8, 3.42678022384643550000e+000) (9, 8.58705461025238040000e-001) (0, -4.35199365019798280000e-002) (1, 1.28171443939208980000e+000) (2, -2.29375767707824710000e+000) (3, -9.43621769547462460000e-002) (4, 3.35578143596649170000e-001) (5, 1.18093483150005340000e-001) (6, -9.37221050262451170000e-001) (7, 3.83798331022262570000e-001) (8, 5.07017433643341060000e-001) (9, 2.71679610013961790000e-002) (0, 4.25011157989501950000e-001) (1, 3.31001102924346920000e-001) (2, -4.79073405265808110000e-001) (3, -6.56803727149963380000e-001) (4, 5.73801398277282710000e-001) (5, 4.49678212404251100000e-001) (6, 5.04801213741302490000e-001) (7, 1.83952018618583680000e-001) (8, 5.17967820167541500000e-001) (9, -1.16901643574237820000e-001) (10, 1.93239986896514890000e-001) (11, 2.58857626467943190000e-002) (12, 4.99023348093032840000e-002) (13, -3.52419304847717290000e+000) (14, 6.19686804711818700000e-002) (15, -3.98988053202629090000e-002) (16, 3.35389351844787600000e+000) (10, 3.37930560111999510000e+000) (11, 3.13650369644165040000e+000) (12, 1.95207938551902770000e-001) (13, -9.44974720478057860000e-001) (14, 1.01534128189086910000e+000) (15, -1.03508436679840090000e+000) (16, 4.71915155649185180000e-001) (10, -2.82923579216003420000e+000) (11, -2.16638612747192380000e+000) (12, -3.90091729164123540000e+000) (13, 1.44312512874603270000e+000) (14, -4.01580333709716800000e+000) (15, 5.16976070404052730000e+000) (16, 8.50949287414550780000e-001) (10, 8.12918484210968020000e-001) (11, 5.81755582243204120000e-003) (12, 4.09652090072631840000e+000) (13, 1.18364059925079350000e+000) (14, 4.11648082733154300000e+000) (15, -5.05562162399291990000e+000) (16, -2.58644849061965940000e-001)