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);
}
?>