Selling Icecreams: Difference between revisions

From Artificial Neural Network for PHP
Line 16: Line 16:
$objNetwork = new ANN_Network(2, 8, 1);
$objNetwork = new ANN_Network(2, 8, 1);



$objTemperature = new ANN_InputValue(-15, 50); // Temperature in Celsius
$objTemperature = new ANN_InputValue(-15, 50); // Temperature in Celsius
Line 21: Line 22:
$objTemperature->saveToFile('input_temperature.dat');
$objTemperature->saveToFile('input_temperature.dat');
unset($objTemperature);


$objHumidity = new ANN_InputValue(0, 100); // Humidity percentage
$objHumidity = new ANN_InputValue(0, 100); // Humidity percentage
Line 27: Line 27:
$objHumidity->saveToFile('input_humidity.dat');
$objHumidity->saveToFile('input_humidity.dat');


unset($objHumidity);


$objIcecream = new ANN_OutputValue(0, 300); // Quantity of sold ice-creams
$objIcecream = new ANN_OutputValue(0, 300); // Quantity of sold ice-creams
Line 33: Line 32:
$objIcecream->saveToFile('output_quantity.dat');
$objIcecream->saveToFile('output_quantity.dat');



$objValues = new ANN_Values;

$objValues->train()
->input(
$objTemperature->getInputValue(20),
$objHumidity->getInputValue(10)
)
->output(
$objIcecream->getOutputValue(20)
)
->input(
$objTemperature->getInputValue(30),
$objHumidity->getInputValue(40)
)
->output(
$objIcecream->getOutputValue(90)
)
->input(
$objTemperature->getInputValue(32),
$objHumidity->getInputValue(30)
)
->output(
$objIcecream->getOutputValue(70)
)
->input(
$objTemperature->getInputValue(33),
$objHumidity->getInputValue(20)
)
->output(
$objIcecream->getOutputValue(75)
);

$objValues->saveToFile('values_icecreams.dat');
unset($objValues);
unset($objTemperature);
unset($objHumidity);
unset($objIcecream);
unset($objIcecream);
}
}
Line 49: Line 86:
}
}


try
$arrInputs = array(
{
array($objTemperature->getInputValue(20), $objHumidity->getInputValue(10)),
$objValues = ANN_Values::loadFromFile('values_icecreams.dat');
array($objTemperature->getInputValue(30), $objHumidity->getInputValue(40)),
}
array($objTemperature->getInputValue(32), $objHumidity->getInputValue(30)),
catch(Exception $e)
array($objTemperature->getInputValue(33), $objHumidity->getInputValue(20))
{
);
die('Loading of values failed');

}
$arrOutputs = array(
array($objIcecream->getOutputValue(20)),
array($objIcecream->getOutputValue(90)),
array($objIcecream->getOutputValue(70)),
array($objIcecream->getOutputValue(75))
);

$objNetwork->setInputs($arrInputs);


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


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

Revision as of 06:25, 19 December 2008

Training

THIS EXAMPLE IS NOT UP TO DATE. PLEASE HAVE A LOOK TO XOR EXAMPLE!!!

require_once 'ANN/ANN_Loader.php';

try
{
  $objNetwork = ANN_Network::loadFromFile('icecreams.dat');
}
catch(Exception $e)
{
  print 'Creating a new one...';
	
  $objNetwork = new ANN_Network(2, 8, 1);


  $objTemperature = new ANN_InputValue(-15, 50); // Temperature in Celsius

  $objTemperature->saveToFile('input_temperature.dat');
  

  $objHumidity    = new ANN_InputValue(0, 100);  // Humidity percentage

  $objHumidity->saveToFile('input_humidity.dat');


  $objIcecream    = new ANN_OutputValue(0, 300); // Quantity of sold ice-creams

  $objIcecream->saveToFile('output_quantity.dat');


  $objValues = new ANN_Values;

  $objValues->train()
            ->input(
                   $objTemperature->getInputValue(20),
                   $objHumidity->getInputValue(10)
                   )
            ->output(
                   $objIcecream->getOutputValue(20)
                   )
            ->input(
                   $objTemperature->getInputValue(30),
                   $objHumidity->getInputValue(40)
                   )
            ->output(
                   $objIcecream->getOutputValue(90)
                   )
            ->input(
                   $objTemperature->getInputValue(32),
                   $objHumidity->getInputValue(30)
                   )
            ->output(
                   $objIcecream->getOutputValue(70)
                   )
            ->input(
                   $objTemperature->getInputValue(33),
                   $objHumidity->getInputValue(20)
                   )
            ->output(
                   $objIcecream->getOutputValue(75)
                   );

  $objValues->saveToFile('values_icecreams.dat');
  
  unset($objValues);
  unset($objTemperature);
  unset($objHumidity);
  unset($objIcecream);
}

try
{
  $objTemperature = ANN_InputValue::loadFromFile('input_temperature.dat'); // Temperature in Celsius

  $objHumidity    = ANN_InputValue::loadFromFile('input_humidity.dat'); // Humidity percentage

  $objIcecream    = ANN_OutputValue::loadFromFile('output_quantity.dat'); // Quantity of sold ice-creams
}
catch(Exception $e)
{
  print 'Error loading value objects';
}

try
{
  $objValues = ANN_Values::loadFromFile('values_icecreams.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('icecreams.dat');

Using trained network

require_once 'ANN/ANN_Loader.php';

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

try
{
  $objTemperature = ANN_InputValue::loadFromFile('input_temperature.dat'); // Temperature in Celsius

  $objHumidity = ANN_InputValue::loadFromFile('input_humidity.dat'); // Humidity percentage

  $objIcecream = ANN_OutputValue::loadFromFile('output_quantity.dat'); // Quantity of sold ice-creams
}
catch(Exception $e)
{
  print 'Error loading value objects';
}

$arrInputs = array(
	array($objTemperature->getInputValue(20), $objHumidity->getInputValue(10)),
	array($objTemperature->getInputValue(30), $objHumidity->getInputValue(40)),
	array($objTemperature->getInputValue(32), $objHumidity->getInputValue(30)),
	array($objTemperature->getInputValue(33), $objHumidity->getInputValue(20))
);

$objNetwork->setInputs($arrInputs);

$arrOutputs = $objNetwork->getOutputs();

foreach($arrOutputs as $floatOutput)
  print $objIcecream->getRealOutputValue($floatOutput). '<br />';