fann_get_cascade_num_candidates - Returns the number of candidates used during training
Вернуться к: Fann Функции
fann_get_cascade_num_candidates
(PECL fann >= 1.0.0)
fann_get_cascade_num_candidates — Returns the number of candidates used during training
Описание
$ann
)The number of candidates used during training (calculated by multiplying fann_get_cascade_activation_functions_count(), fann_get_cascade_activation_steepnesses_count() and fann_get_cascade_num_candidate_groups()).
The actual candidates is defined by the fann_get_cascade_activation_functions() and fann_get_cascade_activation_steepnesses() 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_set_cascade_num_candidate_groups().
The default number of candidates is 6x4x2 = 48
Список параметров
-
ann -
Ресурс (resource) нейронной сети.
Возвращаемые значения
The number of candidates used during training, or FALSE on error.
Смотрите также
- fann_get_cascade_activation_functions() - Returns the cascade activation functions
- fann_get_cascade_activation_functions_count() - Returns the number of cascade activation functions
- fann_get_cascade_activation_steepnesses() - Returns the cascade activation steepnesses
- fann_get_cascade_activation_steepnesses_count() - The number of activation steepnesses
- fann_get_cascade_num_candidate_groups() - Returns the number of candidate groups
Вернуться к: Fann Функции