PHP Phpml\NeuralNetwork\Node Neuron::getOutput Examples

getOutput() public method

public getOutput ( ) : float
return	float

Example #1

File: NeuronTest.php Project: php-ai/php-ml

 public function testNeuronRefresh()
 {
     $neuron = new Neuron();
     $neuron->getOutput();
     $neuron->addSynapse($this->getSynapseMock());
     $this->assertEquals(0.5, $neuron->getOutput(), '', 0.01);
     $neuron->refresh();
     $this->assertEquals(0.88, $neuron->getOutput(), '', 0.01);
 }

Example #2

File: Backpropagation.php Project: php-ai/php-ml

 /**
  * @param Neuron $neuron
  * @param array  $target
  * @param int    $key
  * @param bool   $lastLayer
  *
  * @return float
  */
 private function getSigma(Neuron $neuron, array $target, int $key, bool $lastLayer) : float
 {
     $neuronOutput = $neuron->getOutput();
     $sigma = $neuronOutput * (1 - $neuronOutput);
     if ($lastLayer) {
         $sigma *= $target[$key] - $neuronOutput;
     } else {
         $sigma *= $this->getPrevSigma($neuron);
     }
     $this->sigmas[] = new Sigma($neuron, $sigma);
     return $sigma;
 }