Logical XOR function: Difference between revisions
From Artificial Neural Network for PHP
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<source lang="php"> |
<source lang="php"> |
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require_once 'ANN/ |
require_once 'ANN/ANN_Loader.php'; |
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try |
try |
Revision as of 17:48, 16 December 2008
Training
require_once 'ANN/ANN_Loader.php';
try
{
$network = ANN_Network::loadFromFile('xor.dat');
}
catch(Exception $e)
{
print 'Creating a new one...';
$network = new ANN_Network;
}
$inputs = array(
array(0, 0),
array(0, 1),
array(1, 0),
array(1, 1)
);
$outputs = array(
array(0),
array(1),
array(1),
array(0)
);
$network->setInputs($inputs);
$network->setOutputs($outputs);
$network->train();
$network->saveToFile('xor.dat');
Using trained network
require_once 'ANN/ANN_Network.php';
try
{
$network = ANN_Network::loadFromFile('xor.dat');
}
catch(Exception $e)
{
die('Network not found');
}
$inputs = array(
array(0, 0),
array(0, 1),
array(1, 0),
array(1, 1)
);
$network->setInputs($inputs);
print_r($network->getOutputs());