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https://github.com/sigmasternchen/php-doc-en
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c2aeb63e3d
git-svn-id: https://svn.php.net/repository/phpdoc/en/trunk@336739 c90b9560-bf6c-de11-be94-00142212c4b1
83 lines
1.9 KiB
XML
83 lines
1.9 KiB
XML
<?xml version="1.0" encoding="utf-8"?>
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<!-- $Revision$ -->
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<chapter xml:id="fann.examples" xmlns="http://docbook.org/ns/docbook" xmlns:xlink="http://www.w3.org/1999/xlink">
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&reftitle.examples;
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<section xml:id="fann.examples-1">
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<title>XOR training</title>
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<para>
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This example shows how to train data for XOR function
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<example>
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<title>xor.data file</title>
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<programlisting role="txt">
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<![CDATA[
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4 2 1
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-1 -1
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-1
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-1 1
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1
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1 -1
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1
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1 1
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-1
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]]>
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</programlisting>
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</example>
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<example>
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<title>Simple train</title>
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<programlisting role="php">
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<![CDATA[
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<?php
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$num_input = 2;
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$num_output = 1;
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$num_layers = 3;
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$num_neurons_hidden = 3;
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$desired_error = 0.001;
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$max_epochs = 500000;
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$epochs_between_reports = 1000;
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$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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$filename = dirname(__FILE__) . "/xor.data";
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if (fann_train_on_file($ann, $filename, $max_epochs, $epochs_between_reports, $desired_error))
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fann_save($ann, dirname(__FILE__) . "/xor_float.net");
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fann_destroy($ann);
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}
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?>
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]]>
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</programlisting>
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</example>
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</para>
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<para>
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This example shows how to read and run data for XOR function
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<example>
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<title>Simple test</title>
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<programlisting role="php">
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<![CDATA[
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<?php
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$train_file = (dirname(__FILE__) . "/xor_float.net");
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if (!is_file($train_file))
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die("The file xor_float.net has not been created! Please run simple_train.php to generate it");
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$ann = fann_create_from_file($train_file);
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if (!$ann)
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die("ANN could not be created");
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$input = array(-1, 1);
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$calc_out = fann_run($ann, $input);
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printf("xor test (%f,%f) -> %f\n", $input[0], $input[1], $calc_out[0]);
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fann_destroy($ann);
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?>
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]]>
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</programlisting>
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</example>
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</para>
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</section>
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</chapter>
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