76 lines
1.5 KiB
PHP
76 lines
1.5 KiB
PHP
<?php
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declare(strict_types=1);
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namespace Phpml\NeuralNetwork\Network;
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use Phpml\NeuralNetwork\Layer;
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use Phpml\NeuralNetwork\Network;
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use Phpml\NeuralNetwork\Node\Input;
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use Phpml\NeuralNetwork\Node\Neuron;
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abstract class LayeredNetwork implements Network
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{
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/**
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* @var Layer[]
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*/
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protected $layers = [];
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public function addLayer(Layer $layer): void
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{
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$this->layers[] = $layer;
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}
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/**
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* @return Layer[]
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*/
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public function getLayers(): array
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{
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return $this->layers;
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}
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public function removeLayers(): void
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{
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unset($this->layers);
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}
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public function getOutputLayer(): Layer
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{
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return $this->layers[count($this->layers) - 1];
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}
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public function getOutput(): array
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{
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$result = [];
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foreach ($this->getOutputLayer()->getNodes() as $neuron) {
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$result[] = $neuron->getOutput();
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}
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return $result;
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}
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/**
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* @param mixed $input
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*/
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public function setInput($input): Network
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{
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$firstLayer = $this->layers[0];
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foreach ($firstLayer->getNodes() as $key => $neuron) {
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if ($neuron instanceof Input) {
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$neuron->setInput($input[$key]);
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}
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}
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foreach ($this->getLayers() as $layer) {
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foreach ($layer->getNodes() as $node) {
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if ($node instanceof Neuron) {
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$node->reset();
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}
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}
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}
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return $this;
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}
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}
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