Difference between revisions of "Selling Icecreams"

From Artificial Neural Network for PHP
Line 99: Line 99:
 
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('icecreams.dat');
 
$objNetwork->saveToFile('icecreams.dat');

Revision as of 17:29, 25 May 2009

Training

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)
{
  die('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

$boolTrained = $objNetwork->train();

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

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

$objNetwork->printNetwork();

Using trained network

require_once 'ANN/ANN_Loader.php';

try
{
  $objNetwork = ANN_Network::loadFromFile('icecreams.dat');
}
catch(Exception $e)
{
  die('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)
{
  die('Error loading value objects');
}

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

$objValues->input( // input values appending the loaded ones
                 $objTemperature->getInputValue(17),
                 $objHumidity->getInputValue(12)
                 )
          ->input(
                 $objTemperature->getInputValue(31),
                 $objHumidity->getInputValue(42)
                 )
          ->input(
                 $objTemperature->getInputValue(31),
                 $objHumidity->getInputValue(34)
                 )
          ->input(
                 $objTemperature->getInputValue(34),
                 $objHumidity->getInputValue(21)
                 );

$objNetwork->setValues($objValues);

$arrOutputs = $objNetwork->getOutputs();

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