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

Description

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

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.

Parameters

ann

Neural network resource.

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()

Return Values

Returns true on success, or false otherwise.

See Also

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User Contributed Notes 1 note

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1
geekgirljoy at gmail dot com
5 years ago
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($ann, FANN_SIGMOID_SYMMETRIC);
fann_set_activation_function_output($ann, FANN_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);
}
?>
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