Php/docs/fann.examples-1
XOR training
This example shows how to train data for XOR function
Example #1 xor.data file
4 2 1 -1 -1 -1 -1 1 1 1 -1 1 1 1 -1
Example #2 Simple train
<?php$num_input = 2;$num_output = 1;$num_layers = 3;$num_neurons_hidden = 3;$desired_error = 0.001;$max_epochs = 500000;$epochs_between_reports = 1000;$ann = fann_create_standard($num_layers, $num_input, $num_neurons_hidden, $num_output);if ($ann) { fann_set_activation_function_hidden($ann, FANN_SIGMOID_SYMMETRIC); fann_set_activation_function_output($ann, FANN_SIGMOID_SYMMETRIC); $filename = dirname(__FILE__) . "/xor.data"; if (fann_train_on_file($ann, $filename, $max_epochs, $epochs_between_reports, $desired_error)) fann_save($ann, dirname(__FILE__) . "/xor_float.net"); fann_destroy($ann);}?>
This example shows how to read and run data for XOR function
Example #3 Simple test
<?php$train_file = (dirname(__FILE__) . "/xor_float.net");if (!is_file($train_file)) die("The file xor_float.net has not been created! Please run simple_train.php to generate it");$ann = fann_create_from_file($train_file);if (!$ann) die("ANN could not be created");$input = array(-1, 1);$calc_out = fann_run($ann, $input);printf("xor test (%f,%f) -> %f\n", $input[0], $input[1], $calc_out[0]);fann_destroy($ann);?>
