fann_train_on_file

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);}?>