Logical XOR function: Difference between revisions

From Artificial Neural Network for PHP
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= Logical XOR function =

== Training ==
== Training ==


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catch(Exception $e)
catch(Exception $e)
{
{
print "\nCreating a new one...";
print "Creating a new one...";
$network = new ANN_Network;
$network = new ANN_Network;
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catch(Exception $e)
catch(Exception $e)
{
{
print "\nNetwork not found.";
print "Network not found.";
}
}



Revision as of 10:05, 21 December 2007

Training

require_once 'ANN/ANN_Network.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 a trained network

require_once('ANN/ANN_Network.php');

try
{
  $network = ANN_Network::loadFromFile('xor.dat');
}
catch(Exception $e)
{
  print "Network not found.";
}

$inputs = array(
	array(0, 0),
	array(0, 1),
	array(1, 0),
	array(1, 1)
);

$network->setInputs($inputs);

print_r($network->getOutputs());