Logical XOR function: Difference between revisions
From Artificial Neural Network for PHP
Line 29: | Line 29: | ||
); |
); |
||
$objNetwork |
$objNetwork->setInputs($arrInputs); |
||
$objNetwork |
$objNetwork->setOutputs($arrOutputs); |
||
$objNetwork |
$objNetwork->train(); |
||
$objNetwork |
$objNetwork->saveToFile('xor.dat'); |
||
</source> |
</source> |
||
Revision as of 12:42, 18 December 2008
Training
require_once 'ANN/ANN_Loader.php';
try
{
$objNetwork = ANN_Network::loadFromFile('xor.dat');
}
catch(Exception $e)
{
print 'Creating a new one...';
$objNetwork = new ANN_Network;
}
$arrInputs = array(
array(0, 0),
array(0, 1),
array(1, 0),
array(1, 1)
);
$arrOutputs = array(
array(0),
array(1),
array(1),
array(0)
);
$objNetwork->setInputs($arrInputs);
$objNetwork->setOutputs($arrOutputs);
$objNetwork->train();
$objNetwork->saveToFile('xor.dat');
Using trained network
require_once 'ANN/ANN_Loader.php';
try
{
$objNetwork = ANN_Network::loadFromFile('xor.dat');
}
catch(Exception $e)
{
die('Network not found');
}
$arrInputs = array(
array(0, 0),
array(0, 1),
array(1, 0),
array(1, 1)
);
$objNetwork->setInputs($arrInputs);
print_r($objNetwork->getOutputs());