Logical XOR function: Difference between revisions

From Artificial Neural Network for PHP
(New page: = Logical XOR function = == Training == <source lang="php"> require_once '../ANN/ANN_Network.php'; try { $network = ANN_Network::loadFromFile('xor.dat'); } catch(Exception $e) { pri...)
 
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<source lang="php">
<source lang="php">
require_once '../ANN/ANN_Network.php';
require_once 'ANN/ANN_Network.php';


try
try
Line 43: Line 43:


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


try
try

Revision as of 10:00, 21 December 2007

Logical XOR function

Training

require_once 'ANN/ANN_Network.php';

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

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

$network->setInputs($inputs);

print_r($network->getOutputs());