fann_get_cascade_num_candidates

fann_get_cascade_num_candidates

Returns the number of candidates used during training

int **fann_get_cascade_num_candidates** resource $ann

The number of candidates used during training (calculated by multiplying , and ). fann_get_cascade_activation_functions_count``fann_get_cascade_activation_steepnesses_count``fann_get_cascade_num_candidate_groups

The actual candidates is defined by the and arrays. These arrays define the activation functions and activation steepnesses used for the candidate neurons. If there are 2 activation functions in the activation function array and 3 steepnesses in the steepness array, then there will be 2x3=6 different candidates which will be trained. These 6 different candidates can be copied into several candidate groups, where the only difference between these groups is the initial weights. If the number of groups is set to 2, then the number of candidate neurons will be 2x3x2=12. The number of candidate groups is defined by . fann_get_cascade_activation_functions``fann_get_cascade_activation_steepnesses``fann_set_cascade_num_candidate_groups

The default number of candidates is 6x4x2 = 48

annThe number of candidates used during training, or false on error.

fann_get_cascade_activation_functions``fann_get_cascade_activation_functions_count``fann_get_cascade_activation_steepnesses``fann_get_cascade_activation_steepnesses_count``fann_get_cascade_num_candidate_groups