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