PHP 7.0.6 Released

    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);
    ?>

    User Contributed Notes

    Aurelien Marchand
    11 months ago
    Here is an explanation for the input file for training, as it might be obvious to everyone and you must understand it to write your own:

    4 2 1 <- header file saying there are 4 sets to read, with 2 inputs and 1 output
    -1 -1 <- the 2 inputs for the 1st group
    -1    <- the 1 output for the 1st group
    -1 1  <- the 2 inputs for the 2nd group
    1     <- the 1 output for the 2nd group
    1 -1  <- the 2 inputs for the 3rd group
    1     <- the 1 output for the 3rd group
    1 1   <- the 2 inputs for the 4th group
    -1    <- the 1 output for the 4th group
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