fann_train_on_file

(PECL fann >= 1.0.0)

fann_train_on_fileTrains on an entire dataset, which is read from file, for a period of time

Описание

bool fann_train_on_file ( resource $ann , string $filename , int $max_epochs , int $epochs_between_reports , float $desired_error )

Trains on an entire dataset, which is read from file, for a period of time.

This training uses the training algorithm chosen by fann_set_training_algorithm() and the parameters set for these training algorithms.

Список параметров

ann

Ресурс (resource) нейронной сети.

filename

The file containing train data

max_epochs

The maximum number of epochs the training should continue

epochs_between_reports

The number of epochs between calling a user function. A value of zero means that user function is not called.

desired_error

The desired fann_get_MSE() or fann_get_bit_fail(), depending on the stop function chosen by fann_set_train_stop_function()

Возвращаемые значения

Возвращает TRUE в случае успешного выполнения, или FALSE в противном случае.

Смотрите также

Коментарии

Training File (xor.data):
4 2 1
-1 -1
-1
-1 1
1
1 -1
1
1 1
-1

<?php
$num_input 
2;
$num_output 1;
$num_layers 3;
$num_neurons_hidden 3;
$desired_error 0.001;
$max_epochs 500000;
$epochs_between_reports 1000;
$training_data dirname(__FILE__) . "/xor.data"// training data file
$ann_save_file dirname(__FILE__) . "/xor_float.net"// training data file

// Create ANN object using
$ann fann_create_standard($num_layers$num_input$num_neurons_hidden$num_output);

if (
$ann) {
   
   
// Configure the ANN Activation Function 
   
fann_set_activation_function_hidden($annFANN_SIGMOID_SYMMETRIC);
   
fann_set_activation_function_output($annFANN_SIGMOID_SYMMETRIC);
   
   
// Try to train using fann_train_on_file()
   
if (fann_train_on_file($ann$training_data$max_epochs$epochs_between_reports$desired_error)){
        echo 
'xor trained.' PHP_EOL);
    }
   
   
// Try to save
   
if (fann_save($ann$ann_save_file)){
        echo 
'xor saved.' PHP_EOL);
    }
   
   
// Destroy the $ann object
   
fann_destroy($ann);
}
?>
2018-11-01 19:11:54
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