fann_create_train
(PECL fann >= 1.0.0)
fann_create_train — Creates an empty training data struct
Описание
resource fann_create_train
( int
$num_data
, int $num_input
, int $num_output
)Creates an empty training data struct.
Список параметров
-
num_data -
The number of training data
-
num_input -
The number of inputs per training data
-
num_output -
The number of ouputs per training data
Возвращаемые значения
Возвращает ресурс (resource) обучающих данных, или FALSE в случае ошибки.
Смотрите также
- fann_read_train_from_file() - Reads a file that stores training data
- fann_train_on_data() - Trains on an entire dataset for a period of time
- fann_destroy_train() - Destructs the training data
- fann_save_train() - Save the training structure to a file
- PHP Руководство
- Функции по категориям
- Индекс функций
- Справочник функций
- Другие базовые расширения
- FANN (Fast Artificial Neural Network)
- fann_cascadetrain_on_data
- fann_cascadetrain_on_file
- fann_clear_scaling_params
- fann_copy
- fann_create_from_file
- fann_create_shortcut_array
- fann_create_shortcut
- fann_create_sparse_array
- fann_create_sparse
- fann_create_standard_array
- fann_create_standard
- fann_create_train_from_callback
- fann_create_train
- fann_descale_input
- fann_descale_output
- fann_descale_train
- fann_destroy_train
- fann_destroy
- fann_duplicate_train_data
- fann_get_activation_function
- fann_get_activation_steepness
- fann_get_bias_array
- fann_get_bit_fail_limit
- fann_get_bit_fail
- fann_get_cascade_activation_functions_count
- fann_get_cascade_activation_functions
- fann_get_cascade_activation_steepnesses_count
- fann_get_cascade_activation_steepnesses
- fann_get_cascade_candidate_change_fraction
- fann_get_cascade_candidate_limit
- fann_get_cascade_candidate_stagnation_epochs
- fann_get_cascade_max_cand_epochs
- fann_get_cascade_max_out_epochs
- fann_get_cascade_min_cand_epochs
- fann_get_cascade_min_out_epochs
- fann_get_cascade_num_candidate_groups
- fann_get_cascade_num_candidates
- fann_get_cascade_output_change_fraction
- fann_get_cascade_output_stagnation_epochs
- fann_get_cascade_weight_multiplier
- fann_get_connection_array
- fann_get_connection_rate
- fann_get_errno
- fann_get_errstr
- fann_get_layer_array
- fann_get_learning_momentum
- fann_get_learning_rate
- fann_get_MSE
- fann_get_network_type
- fann_get_num_input
- fann_get_num_layers
- fann_get_num_output
- fann_get_quickprop_decay
- fann_get_quickprop_mu
- fann_get_rprop_decrease_factor
- fann_get_rprop_delta_max
- fann_get_rprop_delta_min
- fann_get_rprop_delta_zero
- fann_get_rprop_increase_factor
- fann_get_sarprop_step_error_shift
- fann_get_sarprop_step_error_threshold_factor
- fann_get_sarprop_temperature
- fann_get_sarprop_weight_decay_shift
- fann_get_total_connections
- fann_get_total_neurons
- fann_get_train_error_function
- fann_get_train_stop_function
- fann_get_training_algorithm
- fann_init_weights
- fann_length_train_data
- fann_merge_train_data
- fann_num_input_train_data
- fann_num_output_train_data
- fann_print_error
- fann_randomize_weights
- fann_read_train_from_file
- fann_reset_errno
- fann_reset_errstr
- fann_reset_MSE
- fann_run
- fann_save_train
- fann_save
- fann_scale_input_train_data
- fann_scale_input
- fann_scale_output_train_data
- fann_scale_output
- fann_scale_train_data
- fann_scale_train
- fann_set_activation_function_hidden
- fann_set_activation_function_layer
- fann_set_activation_function_output
- fann_set_activation_function
- fann_set_activation_steepness_hidden
- fann_set_activation_steepness_layer
- fann_set_activation_steepness_output
- fann_set_activation_steepness
- fann_set_bit_fail_limit
- fann_set_callback
- fann_set_cascade_activation_functions
- fann_set_cascade_activation_steepnesses
- fann_set_cascade_candidate_change_fraction
- fann_set_cascade_candidate_limit
- fann_set_cascade_candidate_stagnation_epochs
- fann_set_cascade_max_cand_epochs
- fann_set_cascade_max_out_epochs
- fann_set_cascade_min_cand_epochs
- fann_set_cascade_min_out_epochs
- fann_set_cascade_num_candidate_groups
- fann_set_cascade_output_change_fraction
- fann_set_cascade_output_stagnation_epochs
- fann_set_cascade_weight_multiplier
- fann_set_error_log
- fann_set_input_scaling_params
- fann_set_learning_momentum
- fann_set_learning_rate
- fann_set_output_scaling_params
- fann_set_quickprop_decay
- fann_set_quickprop_mu
- fann_set_rprop_decrease_factor
- fann_set_rprop_delta_max
- fann_set_rprop_delta_min
- fann_set_rprop_delta_zero
- fann_set_rprop_increase_factor
- fann_set_sarprop_step_error_shift
- fann_set_sarprop_step_error_threshold_factor
- fann_set_sarprop_temperature
- fann_set_sarprop_weight_decay_shift
- fann_set_scaling_params
- fann_set_train_error_function
- fann_set_train_stop_function
- fann_set_training_algorithm
- fann_set_weight_array
- fann_set_weight
- fann_shuffle_train_data
- fann_subset_train_data
- fann_test_data
- fann_test
- fann_train_epoch
- fann_train_on_data
- fann_train_on_file
- fann_train
Коментарии
The result of fann_create_train() is a "blank" or "empty" training data resource which can be saved to a file using fann_save_train().
<?php
$num_data = 4;
$num_input = 2;
$num_output = 1;
// Create an empty 'template' training resource in memory
$empty_training_resource = fann_create_train ($num_data , $num_input , $num_output);
// Save template.data
fann_save_train($empty_training_resource, 'template.data');
?>
File Saved (template.data):
4 2 1
0 0
0
0 0
0
0 0
0
0 0
0