Esempio n. 1
0
 /**
  * @param \Sereban\NeuronNet\App $app
  * @param array $_values
  */
 public function initCounts(App $app, array $_values)
 {
     $initCount = count($_values[Layout\Collection::INITIAL_VALUES][0]);
     $teacherCount = count($_values[Layout\Collection::TEACHER_VALUES][0]);
     $assocCount = (int) ($initCount * NeuronNet\Relation::ACCELERATOR);
     //The number of associated neurons should be smaller than the number of stimulated
     //Setting counts
     $app->setNeuronCount(NeuronNet\Factory::STIM, $initCount);
     $app->setNeuronCount(NeuronNet\Factory::ASSOC, $assocCount);
     $app->setNeuronCount(NeuronNet\Factory::REACT, $teacherCount);
 }
Esempio n. 2
0
 /**
  * Full Test: check whether back propagation was successful
  * @throws \Exception
  */
 public function testAbsolute()
 {
     $_values = $this->parseYaml($this->_getCurrentFolder(__DIR__, "absolute", "absolute.yml"));
     $_values = $this->prepareValues($_values);
     $this->initCounts($this->_app, $_values);
     //Initializing and start
     $this->_app->init($_values);
     $this->_app->start();
     Net::setMode(Net::PRODUCTION_MODE);
     $this->_app->start();
     //run app with same values but in production mode
     $lastLayout = $this->_app->getLayoutCollection()->getLastLayout();
     /** @var NeuronNet\Neuron\React $winner */
     $winner = $lastLayout->seek($this->_app->getWinner());
     //Compare standard teacher value with winner`s teacher value
     $this->assertEquals(self::WINNER_TEACHER_VALUE, $winner->getTeacherValue());
 }