fann_set_scaling_params - Calculate input and output scaling parameters for future use based on training data
Вернуться к: Fann Функции
fann_set_scaling_params
(PECL fann >= 1.0.0)
fann_set_scaling_params — Calculate input and output scaling parameters for future use based on training data
Описание
$ann
, resource $train_data
, float $new_input_min
, float $new_input_max
, float $new_output_min
, float $new_output_max
)Calculate input and output scaling parameters for future use based on training data.
Список параметров
-
ann -
Ресурс (resource) нейронной сети.
-
train_data -
Ресурс (resource) обучающих данных нейронной сети.
-
new_input_min -
The desired lower bound in input data after scaling (not strictly followed)
-
new_input_max -
The desired upper bound in input data after scaling (not strictly followed)
-
new_output_min -
The desired lower bound in output data after scaling (not strictly followed)
-
new_output_max -
The desired upper bound in output data after scaling (not strictly followed)
Возвращаемые значения
Возвращает TRUE в случае успешного выполнения, или FALSE в противном случае.
Смотрите также
- fann_set_input_scaling_params() - Calculate input scaling parameters for future use based on training data
- fann_set_output_scaling_params() - Calculate output scaling parameters for future use based on training data
Вернуться к: Fann Функции