fann-php-examples-1-7

  • Examples
  • XOR training

  • XOR training
  • XOR training

    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($annFANN_SIGMOID_SYMMETRIC);
        
    fann_set_activation_function_output($annFANN_SIGMOID_SYMMETRIC);

        $filename dirname(__FILE__) . "/xor.data";
        if (
    fann_train_on_file($ann$filename$max_epochs$epochs_between_reports$desired_error))
            
    fann_save($anndirname(__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(-11);
    $calc_out fann_run($ann$input);
    printf("xor test (%f,%f) -> %f\n"$input[0], $input[1], $calc_out[0]);
    fann_destroy($ann);
    ?>