Client-Server model: Difference between revisions
From Artificial Neural Network for PHP
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require_once 'ANN/Loader.php'; |
require_once 'ANN/Loader.php'; |
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use ANN\Server; |
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{ |
{ |
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/** |
/** |
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} |
} |
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$objServer = new |
$objServer = new MyServer; |
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</source> |
</source> |
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<source lang="php"> |
<source lang="php"> |
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require_once 'ANN/Loader.php'; |
require_once 'ANN/Loader.php'; |
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use ANN\Network; |
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use ANN\Values; |
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try |
try |
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{ |
{ |
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$objNetwork = new |
$objNetwork = new Network; |
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$objValues = new |
$objValues = new Values; |
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$objValues->train() |
$objValues->train() |
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); |
); |
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if($objNetwork instanceof |
if($objNetwork instanceof Network) |
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$objNetwork->printNetwork(); |
$objNetwork->printNetwork(); |
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</source> |
</source> |
Latest revision as of 12:17, 1 June 2011
Server implementation
require_once 'ANN/Loader.php';
use ANN\Server;
class MyServer extends Server
{
/**
* @param string $strUsername
* @param string $strPassword
* @return boolean
*/
protected function checkLogin($strUsername, $strPassword)
{
// User-defined authentication by database for example
return ($strUsername == 'username' && $strPassword == 'password');
}
}
$objServer = new MyServer;
Client implementation
require_once 'ANN/Loader.php';
use ANN\Network;
use ANN\Values;
try
{
$objNetwork = new Network;
$objValues = new Values;
$objValues->train()
->input(0,0)->output(0)
->input(0,1)->output(1)
->input(1,0)->output(1)
->input(1,1)->output(0);
}
catch(Exception $e)
{
die('Network could not be created');
}
$objNetwork->setValues($objValues); // to be called as of version 2.0.6
$objNetwork = $objNetwork->trainByHost(
'username',
'password',
'http://example.tld/ANN_Server.php'
);
if($objNetwork instanceof Network)
$objNetwork->printNetwork();