96 lines
2.7 KiB
PHP
96 lines
2.7 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\Exception\InvalidArgumentException;
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use Phpml\NeuralNetwork\ActivationFunction;
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use Phpml\NeuralNetwork\Layer;
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use Phpml\NeuralNetwork\Node\Bias;
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use Phpml\NeuralNetwork\Node\Input;
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use Phpml\NeuralNetwork\Node\Neuron;
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use Phpml\NeuralNetwork\Node\Neuron\Synapse;
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class MultilayerPerceptron extends LayeredNetwork
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{
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/**
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* @param array $layers
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* @param ActivationFunction|null $activationFunction
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*
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* @throws InvalidArgumentException
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*/
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public function __construct(array $layers, ActivationFunction $activationFunction = null)
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{
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if (count($layers) < 2) {
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throw InvalidArgumentException::invalidLayersNumber();
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}
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$this->addInputLayer(array_shift($layers));
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$this->addNeuronLayers($layers, $activationFunction);
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$this->addBiasNodes();
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$this->generateSynapses();
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}
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/**
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* @param int $nodes
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*/
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private function addInputLayer(int $nodes)
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{
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$this->addLayer(new Layer($nodes, Input::class));
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}
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/**
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* @param array $layers
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* @param ActivationFunction|null $activationFunction
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*/
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private function addNeuronLayers(array $layers, ActivationFunction $activationFunction = null)
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{
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foreach ($layers as $neurons) {
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$this->addLayer(new Layer($neurons, Neuron::class, $activationFunction));
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}
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}
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private function generateSynapses()
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{
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$layersNumber = count($this->layers) - 1;
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for ($i = 0; $i < $layersNumber; ++$i) {
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$currentLayer = $this->layers[$i];
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$nextLayer = $this->layers[$i + 1];
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$this->generateLayerSynapses($nextLayer, $currentLayer);
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}
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}
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private function addBiasNodes()
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{
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$biasLayers = count($this->layers) - 1;
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for ($i = 0;$i < $biasLayers;++$i) {
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$this->layers[$i]->addNode(new Bias());
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}
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}
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/**
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* @param Layer $nextLayer
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* @param Layer $currentLayer
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*/
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private function generateLayerSynapses(Layer $nextLayer, Layer $currentLayer)
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{
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foreach ($nextLayer->getNodes() as $nextNeuron) {
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if ($nextNeuron instanceof Neuron) {
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$this->generateNeuronSynapses($currentLayer, $nextNeuron);
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}
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}
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}
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/**
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* @param Layer $currentLayer
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* @param Neuron $nextNeuron
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*/
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private function generateNeuronSynapses(Layer $currentLayer, Neuron $nextNeuron)
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{
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foreach ($currentLayer->getNodes() as $currentNeuron) {
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$nextNeuron->addSynapse(new Synapse($currentNeuron));
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}
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}
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}
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