fann_train_on_file

(PECL fann >= 1.0.0)

fann_train_on_file — Trains 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.

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User Contributed Notes 1 note

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geekgirljoy at gmail dot com ¶

6 years ago

Training File (xor.data):4 2 1-1 -1-1-1 111 -111 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);}?>