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FANN getting started output training

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Oct 19th, 2014
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  1. FANN_FLO_2.1
  2. num_layers=3
  3. learning_rate=0.700000
  4. connection_rate=1.000000
  5. network_type=0
  6. learning_momentum=0.000000
  7. training_algorithm=2
  8. train_error_function=1
  9. train_stop_function=0
  10. cascade_output_change_fraction=0.010000
  11. quickprop_decay=-0.000100
  12. quickprop_mu=1.750000
  13. rprop_increase_factor=1.200000
  14. rprop_decrease_factor=0.500000
  15. rprop_delta_min=0.000000
  16. rprop_delta_max=50.000000
  17. rprop_delta_zero=0.100000
  18. cascade_output_stagnation_epochs=12
  19. cascade_candidate_change_fraction=0.010000
  20. cascade_candidate_stagnation_epochs=12
  21. cascade_max_out_epochs=150
  22. cascade_min_out_epochs=50
  23. cascade_max_cand_epochs=150
  24. cascade_min_cand_epochs=50
  25. cascade_num_candidate_groups=2
  26. bit_fail_limit=3.49999999999999980000e-001
  27. cascade_candidate_limit=1.00000000000000000000e+003
  28. cascade_weight_multiplier=4.00000000000000020000e-001
  29. cascade_activation_functions_count=10
  30. cascade_activation_functions=3 5 7 8 10 11 14 15 16 17
  31. cascade_activation_steepnesses_count=4
  32. cascade_activation_steepnesses=2.50000000000000000000e-001 5.00000000000000000000e-001 7.50000000000000000000e-001 1.00000000000000000000e+000
  33. layer_sizes=3 4 2
  34. scale_included=0
  35. neurons (num_inputs, activation_function, activation_steepness)=(0, 0, 0.00000000000000000000e+000) (0, 0, 0.00000000000000000000e+000) (0, 0, 0.00000000000000000000e+000) (3, 5, 5.00000000000000000000e-001) (3, 5, 5.00000000000000000000e-001) (3, 5, 5.00000000000000000000e-001) (0, 5, 0.00000000000000000000e+000) (4, 5, 5.00000000000000000000e-001) (0, 5, 0.00000000000000000000e+000)
  36. connections (connected_to_neuron, weight)=(0, -5.59753426309725910000e-002) (1, -9.82666030267864700000e-004) (2, -9.02709974388926640000e-003) (0, -2.10266116414459250000e-002) (1, -8.06457531548403490000e-002) (2, 9.70764174621763230000e-002) (0, -6.87133799301591350000e-002) (1, -6.53747568335347750000e-002) (2, 8.23913586496018980000e-002) (3, 3.86840826076877420000e-002) (4, 5.22033699185158180000e-002) (5, 2.09960940628661770000e-002) (6, 1.69067385331800320000e-002)
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