Difference between revisions of "Logical XOR function"
From Artificial Neural Network for PHP
Line 13: | Line 13: | ||
$objNetwork = new ANN_Network; |
$objNetwork = new ANN_Network; |
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⚫ | |||
+ | $objValues = new ANN_Values; |
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− | $arrInputs = array( |
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− | array(0, 0), |
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− | array(0, 1), |
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− | array(1, 0), |
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− | array(1, 1) |
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− | ); |
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+ | $objValues->train() |
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− | $arrOutputs = array( |
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+ | ->input(0,0)->output(0) |
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− | array(0), |
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+ | ->input(0,1)->output(1) |
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− | array(1), |
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+ | ->input(1,0)->output(1) |
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− | array(1), |
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+ | ->input(1,1)->output(0); |
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− | array(0) |
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− | ); |
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+ | $objValues->saveToFile('values_xor.dat'); |
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− | $objNetwork->setInputs($arrInputs); |
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+ | |||
+ | unset($objValues); |
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⚫ | |||
+ | |||
+ | try |
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+ | { |
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+ | $objValues = ANN_Values::loadFromFile('values_xor.dat'); |
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+ | } |
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+ | catch(Exception $e) |
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+ | { |
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+ | die('Loading of values failed'); |
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+ | } |
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− | $objNetwork-> |
+ | $objNetwork->setValues($objValues); // to be called as of version 2.0.6 |
$objNetwork->train(); |
$objNetwork->train(); |
Revision as of 18:51, 18 December 2008
Training
require_once 'ANN/ANN_Loader.php';
try
{
$objNetwork = ANN_Network::loadFromFile('xor.dat');
}
catch(Exception $e)
{
print 'Creating a new one...';
$objNetwork = new ANN_Network;
$objValues = new ANN_Values;
$objValues->train()
->input(0,0)->output(0)
->input(0,1)->output(1)
->input(1,0)->output(1)
->input(1,1)->output(0);
$objValues->saveToFile('values_xor.dat');
unset($objValues);
}
try
{
$objValues = ANN_Values::loadFromFile('values_xor.dat');
}
catch(Exception $e)
{
die('Loading of values failed');
}
$objNetwork->setValues($objValues); // to be called as of version 2.0.6
$objNetwork->train();
$objNetwork->saveToFile('xor.dat');
Using trained network
require_once 'ANN/ANN_Loader.php';
try
{
$objNetwork = ANN_Network::loadFromFile('xor.dat');
}
catch(Exception $e)
{
die('Network not found');
}
$arrInputs = array(
array(0, 0),
array(0, 1),
array(1, 0),
array(1, 1)
);
$objNetwork->setInputs($arrInputs);
print_r($objNetwork->getOutputs());