Logical XOR function: Difference between revisions

From Artificial Neural Network for PHP
Line 2: Line 2:


<source lang="php">
<source lang="php">
require_once 'ANN/ANN_Network.php';
require_once 'ANN/ANN_Loader.php';


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());