65 lines
1.1 KiB
PHP
65 lines
1.1 KiB
PHP
<?php
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declare (strict_types = 1);
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namespace Phpml\NeuralNetwork\Training\Backpropagation;
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use Phpml\NeuralNetwork\Node\Neuron;
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class Sigma
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{
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/**
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* @var Neuron
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*/
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private $neuron;
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/**
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* @var float
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*/
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private $sigma;
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/**
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* @param Neuron $neuron
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* @param float $sigma
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*/
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public function __construct(Neuron $neuron, $sigma)
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{
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$this->neuron = $neuron;
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$this->sigma = $sigma;
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}
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/**
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* @return Neuron
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*/
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public function getNeuron()
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{
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return $this->neuron;
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}
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/**
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* @return float
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*/
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public function getSigma()
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{
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return $this->sigma;
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}
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/**
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* @param Neuron $neuron
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*
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* @return float
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*/
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public function getSigmaForNeuron(Neuron $neuron): float
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{
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$sigma = 0.0;
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foreach ($this->neuron->getSynapses() as $synapse) {
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if ($synapse->getNode() == $neuron) {
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$sigma += $synapse->getWeight() * $this->getSigma();
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}
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}
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return $sigma;
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}
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}
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