Difference between revisions of "Selling Icecreams"

From Artificial Neural Network for PHP
 
(4 intermediate revisions by the same user not shown)
Line 7: Line 7:
 
<source lang="php">
 
<source lang="php">
   
require_once 'ANN/ANN_Loader.php';
+
require_once 'ANN/Loader.php';
  +
  +
use ANN\Network;
  +
use ANN\InputValue;
  +
use ANN\OutputValue;
  +
use ANN\Values;
   
 
try
 
try
 
{
 
{
$objNetwork = ANN_Network::loadFromFile('icecreams.dat');
+
$objNetwork = Network::loadFromFile('icecreams.dat');
 
}
 
}
 
catch(Exception $e)
 
catch(Exception $e)
Line 17: Line 22:
 
print 'Creating a new one...';
 
print 'Creating a new one...';
 
 
$objNetwork = new ANN_Network(2, 8, 1);
+
$objNetwork = new Network(2, 5, 1);
   
   
$objTemperature = new ANN_InputValue(-15, 50); // Temperature in Celsius
+
$objTemperature = new InputValue(-15, 50); // Temperature in Celsius
   
 
$objTemperature->saveToFile('input_temperature.dat');
 
$objTemperature->saveToFile('input_temperature.dat');
 
 
   
$objHumidity = new ANN_InputValue(0, 100); // Humidity percentage
+
$objHumidity = new InputValue(0, 100); // Humidity percentage
   
 
$objHumidity->saveToFile('input_humidity.dat');
 
$objHumidity->saveToFile('input_humidity.dat');
   
   
$objIcecream = new ANN_OutputValue(0, 300); // Quantity of sold ice-creams
+
$objIcecream = new OutputValue(0, 300); // Quantity of sold ice-creams
   
 
$objIcecream->saveToFile('output_quantity.dat');
 
$objIcecream->saveToFile('output_quantity.dat');
   
   
$objValues = new ANN_Values;
+
$objValues = new Values;
   
 
$objValues->train()
 
$objValues->train()
Line 77: Line 82:
 
try
 
try
 
{
 
{
$objTemperature = ANN_InputValue::loadFromFile('input_temperature.dat'); // Temperature in Celsius
+
$objTemperature = InputValue::loadFromFile('input_temperature.dat'); // Temperature in Celsius
   
$objHumidity = ANN_InputValue::loadFromFile('input_humidity.dat'); // Humidity percentage
+
$objHumidity = InputValue::loadFromFile('input_humidity.dat'); // Humidity percentage
   
$objIcecream = ANN_OutputValue::loadFromFile('output_quantity.dat'); // Quantity of sold ice-creams
+
$objIcecream = OutputValue::loadFromFile('output_quantity.dat'); // Quantity of sold ice-creams
 
}
 
}
 
catch(Exception $e)
 
catch(Exception $e)
Line 90: Line 95:
 
try
 
try
 
{
 
{
$objValues = ANN_Values::loadFromFile('values_icecreams.dat');
+
$objValues = Values::loadFromFile('values_icecreams.dat');
 
}
 
}
 
catch(Exception $e)
 
catch(Exception $e)
Line 114: Line 119:
 
<source lang="php">
 
<source lang="php">
   
require_once 'ANN/ANN_Loader.php';
+
require_once 'ANN/Loader.php';
  +
  +
use ANN\Network;
  +
use ANN\InputValue;
  +
use ANN\OutputValue;
  +
use ANN\Values;
   
 
try
 
try
 
{
 
{
$objNetwork = ANN_Network::loadFromFile('icecreams.dat');
+
$objNetwork = Network::loadFromFile('icecreams.dat');
 
}
 
}
 
catch(Exception $e)
 
catch(Exception $e)
Line 127: Line 137:
 
try
 
try
 
{
 
{
$objTemperature = ANN_InputValue::loadFromFile('input_temperature.dat'); // Temperature in Celsius
+
$objTemperature = InputValue::loadFromFile('input_temperature.dat'); // Temperature in Celsius
   
$objHumidity = ANN_InputValue::loadFromFile('input_humidity.dat'); // Humidity percentage
+
$objHumidity = InputValue::loadFromFile('input_humidity.dat'); // Humidity percentage
   
$objIcecream = ANN_OutputValue::loadFromFile('output_quantity.dat'); // Quantity of sold ice-creams
+
$objIcecream = OutputValue::loadFromFile('output_quantity.dat'); // Quantity of sold ice-creams
 
}
 
}
 
catch(Exception $e)
 
catch(Exception $e)
Line 140: Line 150:
 
try
 
try
 
{
 
{
$objValues = ANN_Values::loadFromFile('values_icecreams.dat');
+
$objValues = Values::loadFromFile('values_icecreams.dat');
 
}
 
}
 
catch(Exception $e)
 
catch(Exception $e)

Latest revision as of 12:33, 1 June 2011

FAQ

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

Training

require_once 'ANN/Loader.php';

use ANN\Network;
use ANN\InputValue;
use ANN\OutputValue;
use ANN\Values;

try
{
  $objNetwork = Network::loadFromFile('icecreams.dat');
}
catch(Exception $e)
{
  print 'Creating a new one...';
	
  $objNetwork = new Network(2, 5, 1);


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

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

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

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


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

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


  $objValues = new 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 = InputValue::loadFromFile('input_temperature.dat'); // Temperature in Celsius

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

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

try
{
  $objValues = 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/Loader.php';

use ANN\Network;
use ANN\InputValue;
use ANN\OutputValue;
use ANN\Values;

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

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

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

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

try
{
  $objValues = 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 />';