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php-fann/examples/xor_float.net
T
2012-12-16 18:05:48 +00:00

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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=1
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=9.99999977648258209229e-03
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 4 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) (3, 5, 1.00000000000000000000e+00) (3, 5, 1.00000000000000000000e+00) (3, 5, 1.00000000000000000000e+00) (0, 5, 1.00000000000000000000e+00) (4, 5, 1.00000000000000000000e+00) (0, 5, 1.00000000000000000000e+00)
connections (connected_to_neuron, weight)=(0, 2.27071380615234375000e+00) (1, 1.48452591896057128906e+00) (2, 2.38130116462707519531e+00) (0, -2.08913373947143554688e+00) (1, 1.92993474006652832031e+00) (2, -1.92381155490875244141e+00) (0, -1.34361982345581054688e-01) (1, 1.02422714233398437500e+00) (2, 1.95691734552383422852e-01) (3, 3.28824639320373535156e+00) (4, 3.42872691154479980469e+00) (5, -3.84175777435302734375e+00) (6, 1.89344108104705810547e-01)