Logical XOR function - Revision history

Thwien: /* Training */

2025-10-04T12:04:22Z

Training

← Older revision		Revision as of 12:04, 4 October 2025
Line 7:		Line 7:
	<source lang="php">		<source lang="php">
	<?php		<?php
	require_once '~~../~~ANN/Loader.php';		require_once 'ANN/Loader.php';

	use ANN\Network;		use ANN\Network;

Thwien: /* Using trained network */

2025-10-04T12:04:09Z

Using trained network

← Older revision		Revision as of 12:04, 4 October 2025
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	<source lang="php">		<source lang="php">
			<?php
	require_once 'ANN/Loader.php';		require_once 'ANN/Loader.php';

Line 62:		Line 63:
	try		try
	{		{
	$objNetwork = Network::loadFromFile('xor.dat');		$objNetwork = Network::loadFromFile('xor.dat');
	}		}
	catch(Exception $e)		catch (Exception $e)
	{		{
	die('Network not found');		die('Network not found');
	}		}

	try		try
	{		{
	$objValues = Values::loadFromFile('values_xor.dat');		$objValues = Values::loadFromFile('values_xor.dat');
	}		}
	catch(Exception $e)		catch (Exception $e)
	{		{
	die('Loading of values failed');		die('Loading of values failed');
	}		}

	$objValues->input(0, 1) ~~// input values appending the loaded ones~~		$objValues->input(0, 1)
	~~->input(1,~~ 1)		-> // input values appending the loaded ones
	->input(1, 0)		input(1, 1)
	->input(0, 0)		->input(1, 0)
	->input(0, 1)		->input(0, 0)
	->input(1, 1);		->input(0, 1)
			->input(1, 1);

	$objNetwork->setValues($objValues);		$objNetwork->setValues($objValues);

Thwien: /* Training */

2025-10-04T12:03:02Z

Training

← Older revision		Revision as of 12:03, 4 October 2025
Line 6:		Line 6:

	<source lang="php">		<source lang="php">
			<?php

	require_once 'ANN/Loader.php';		require_once '../ANN/Loader.php';

	use ANN\Network;		use ANN\Network;
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	try		try
	{		{
	$objNetwork = Network::loadFromFile('xor.dat');		$objNetwork = Network::loadFromFile('xor.dat');
		⚫	} catch (Exception $e)
	}
⚫	catch(Exception $e)
	{		{
	~~print~~ ~~'Creating~~ a new ~~one...'~~;		$objNetwork = new Network();

	$objNetwork = new Network;

	$objValues = new Values;		$objValues = new Values();

	$objValues->train()		$objValues->train()
	->input(0,~~0)->output(~~0)		->input(0, 0)
	->~~input~~(0~~,1)->output(1~~)		->output(0)
	->input(1,~~0)->output(~~1)		->input(0, 1)
	->~~input~~(1~~,1)->output(0~~);		->output(1)
			->input(1, 0)
			->output(1)
			->input(1, 1)
			->output(0);

	$objValues->saveToFile('values_xor.dat');		$objValues->saveToFile('values_xor.dat');

	unset($objValues);
	}		}

	try		try
	{		{
	$objValues = Values::loadFromFile('values_xor.dat');		$objValues = Values::loadFromFile('values_xor.dat');
	}		}
	catch(Exception $e)		catch (Exception $e)
	{		{
	die('Loading of values failed');		die('Loading of values failed');
	}		}

	$objNetwork->setValues($objValues); ~~// to be called as of version 2.0.6~~		$objNetwork->setValues($objValues);

	$boolTrained = $objNetwork->train();		$boolTrained = $objNetwork->train();

		⚫	print ($boolTrained) ? 'Network trained' : 'Network not trained completely. Please re-run the script';
	print ($boolTrained)
	? 'Network trained'
⚫	: 'Network not trained completely. Please re-run the script';

	$objNetwork->saveToFile('xor.dat');		$objNetwork->saveToFile('xor.dat');

	$objNetwork->printNetwork();
	</source>		</source>

Thwien: /* Using trained network */

2011-06-01T11:29:33Z

Using trained network

← Older revision		Revision as of 11:29, 1 June 2011
Line 61:		Line 61:
	<source lang="php">		<source lang="php">
	require_once 'ANN/Loader.php';		require_once 'ANN/Loader.php';

			use ANN\Network;
			use ANN\Values;

	try		try
	{		{
	$objNetwork = ~~ANN_Network~~::loadFromFile('xor.dat');		$objNetwork = Network::loadFromFile('xor.dat');
	}		}
	catch(Exception $e)		catch(Exception $e)
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	try		try
	{		{
	$objValues = ~~ANN_Values~~::loadFromFile('values_xor.dat');		$objValues = Values::loadFromFile('values_xor.dat');
	}		}
	catch(Exception $e)		catch(Exception $e)

Thwien: /* Training */

2011-06-01T11:28:44Z

Training

← Older revision		Revision as of 11:28, 1 June 2011
Line 6:		Line 6:

	<source lang="php">		<source lang="php">

	require_once 'ANN/Loader.php';		require_once 'ANN/Loader.php';

			use ANN\Network;
			use ANN\Values;

	try		try
	{		{
	$objNetwork = ~~ANN_Network~~::loadFromFile('xor.dat');		$objNetwork = Network::loadFromFile('xor.dat');
	}		}
	catch(Exception $e)		catch(Exception $e)
Line 16:		Line 20:
	print 'Creating a new one...';		print 'Creating a new one...';

	$objNetwork = new ~~ANN_Network~~;		$objNetwork = new Network;

	$objValues = new ~~ANN_Values~~;		$objValues = new Values;

	$objValues->train()		$objValues->train()
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	try		try
	{		{
	$objValues = ~~ANN_Values~~::loadFromFile('values_xor.dat');		$objValues = Values::loadFromFile('values_xor.dat');
	}		}
	catch(Exception $e)		catch(Exception $e)

Thwien: /* Using trained network */

2009-12-22T11:28:11Z

Using trained network

← Older revision		Revision as of 11:28, 22 December 2009
Line 56:		Line 56:

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

	try		try

Thwien: /* Training */

2009-12-22T11:27:58Z

Training

← Older revision		Revision as of 11:27, 22 December 2009
Line 6:		Line 6:

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

	try		try

Thwien at 07:57, 28 October 2009

2009-10-28T07:57:01Z

← Older revision		Revision as of 07:57, 28 October 2009
Line 1:		Line 1:
			== FAQ ==

			For information about dat-files have a view to the [[FAQ]] page.

	== Training ==		== Training ==

Thwien: /* Training */

2009-05-25T16:29:15Z

Training

← Older revision		Revision as of 16:29, 25 May 2009
Line 42:		Line 42:
	print ($boolTrained)		print ($boolTrained)
	? 'Network trained'		? 'Network trained'
	: 'Network not trained ~~completly~~. Please re-run the script';		: 'Network not trained completely. Please re-run the script';

	$objNetwork->saveToFile('xor.dat');		$objNetwork->saveToFile('xor.dat');

Thwien: /* Training */

2009-05-25T16:22:14Z

Training

← Older revision		Revision as of 16:22, 25 May 2009
Line 38:		Line 38:
	$objNetwork->setValues($objValues); // to be called as of version 2.0.6		$objNetwork->setValues($objValues); // to be called as of version 2.0.6

	$objNetwork->train();		$boolTrained = $objNetwork->train();

			print ($boolTrained)
			? 'Network trained'
			: 'Network not trained completly. Please re-run the script';

	$objNetwork->saveToFile('xor.dat');		$objNetwork->saveToFile('xor.dat');

			$objNetwork->printNetwork();
	</source>		</source>