Proyectos de Subversion Moodle

Rev

| Ultima modificación | Ver Log |

Rev Autor Línea Nro. Línea
1 efrain 1 
<?php
2 
 
3 
declare(strict_types=1);
4 
 
5 
namespace Phpml\NeuralNetwork\Network;
6 
 
7 
use Phpml\NeuralNetwork\Layer;
8 
use Phpml\NeuralNetwork\Network;
9 
use Phpml\NeuralNetwork\Node\Input;
10 
use Phpml\NeuralNetwork\Node\Neuron;
11 
 
12 
abstract class LayeredNetwork implements Network
13 
{
14 
    /**
15 
     * @var Layer[]
16 
     */
17 
    protected $layers = [];
18 
 
19 
    public function addLayer(Layer $layer): void
20 
    {
21 
        $this->layers[] = $layer;
22 
    }
23 
 
24 
    /**
25 
     * @return Layer[]
26 
     */
27 
    public function getLayers(): array
28 
    {
29 
        return $this->layers;
30 
    }
31 
 
32 
    public function removeLayers(): void
33 
    {
34 
        unset($this->layers);
35 
    }
36 
 
37 
    public function getOutputLayer(): Layer
38 
    {
39 
        return $this->layers[count($this->layers) - 1];
40 
    }
41 
 
42 
    public function getOutput(): array
43 
    {
44 
        $result = [];
45 
        foreach ($this->getOutputLayer()->getNodes() as $neuron) {
46 
            $result[] = $neuron->getOutput();
47 
        }
48 
 
49 
        return $result;
50 
    }
51 
 
52 
    /**
53 
     * @param mixed $input
54 
     */
55 
    public function setInput($input): Network
56 
    {
57 
        $firstLayer = $this->layers[0];
58 
 
59 
        foreach ($firstLayer->getNodes() as $key => $neuron) {
60 
            if ($neuron instanceof Input) {
61 
                $neuron->setInput($input[$key]);
62 
            }
63 
        }
64 
 
65 
        foreach ($this->getLayers() as $layer) {
66 
            foreach ($layer->getNodes() as $node) {
67 
                if ($node instanceof Neuron) {
68 
                    $node->reset();
69 
                }
70 
            }
71 
        }
72 
 
73 
        return $this;
74 
    }
75 
}