Joy Harvel
18a9742978
Added AND, NAND, NOR, NOT, OR, XNOR example training data. Added OCR Example. Added Pathfinder Example. Updated README.md to reflect additional examples.
35 linhas
1.1 KiB
PHP
35 linhas
1.1 KiB
PHP
<?php
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function train($data, $num_input, $num_output, $num_layers, $num_neurons_hidden, $desired_error, $max_epochs, $epochs_between_reports){
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$ann = fann_create_standard($num_layers, $num_input, $num_neurons_hidden, $num_output);
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if ($ann) {
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fann_set_activation_function_hidden($ann, FANN_SIGMOID_SYMMETRIC);
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fann_set_activation_function_output($ann, FANN_SIGMOID_SYMMETRIC);
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$filename = dirname(__FILE__) . '/' . $data . '.data';
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if (fann_train_on_file($ann, $filename, $max_epochs, $epochs_between_reports, $desired_error)) {
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print($data . ' trained.<br>' . PHP_EOL);
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}
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if (fann_save($ann, dirname(__FILE__) . '/' . $data . '_float.net')) {
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print($data . '_float.net saved.<br>' . PHP_EOL);
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}
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fann_destroy($ann);
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}
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}
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train('and', 2, 1, 3, 3, 0.001, 500000, 1000);
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train('nand', 2, 1, 3, 3, 0.001, 500000, 1000);
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train('nor', 2, 1, 3, 3, 0.001, 500000, 1000);
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train('not', 1, 1, 3, 3, 0.001, 500000, 1000);
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train('or', 2, 1, 3, 3, 0.001, 500000, 1000);
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train('xnor', 2, 1, 3, 3, 0.001, 500000, 1000);
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train('xor', 2, 1, 3, 3, 0.001, 500000, 1000);
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print("<a href='test_all.php'>Test All</a>");
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?>
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