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| 1 | <?php |
| 2 | /** |
| 3 | * Jingga |
| 4 | * |
| 5 | * PHP Version 8.1 |
| 6 | * |
| 7 | * @package phpOMS\Ai\NeuralNetwork |
| 8 | * @copyright Dennis Eichhorn |
| 9 | * @license OMS License 2.0 |
| 10 | * @version 1.0.0 |
| 11 | * @link https://jingga.app |
| 12 | */ |
| 13 | declare(strict_types=1); |
| 14 | |
| 15 | namespace phpOMS\Ai\NeuralNetwork; |
| 16 | |
| 17 | /** |
| 18 | * Neuron |
| 19 | * |
| 20 | * @package phpOMS\Ai\NeuralNetwork |
| 21 | * @license OMS License 2.0 |
| 22 | * @link https://jingga.app |
| 23 | * @since 1.0.0 |
| 24 | */ |
| 25 | class Neuron |
| 26 | { |
| 27 | /** |
| 28 | * Neuron inputs |
| 29 | * |
| 30 | * @var array |
| 31 | * @since 1.0.0 |
| 32 | */ |
| 33 | private array $inputs = []; |
| 34 | |
| 35 | /** |
| 36 | * Input weights |
| 37 | * |
| 38 | * @var array |
| 39 | * @since 1.0.0 |
| 40 | */ |
| 41 | private array $weights = []; |
| 42 | |
| 43 | /** |
| 44 | * Bias |
| 45 | * |
| 46 | * @var float |
| 47 | * @since 1.0.0 |
| 48 | */ |
| 49 | public float $bias = 0; |
| 50 | |
| 51 | /** |
| 52 | * Constructor. |
| 53 | * |
| 54 | * @param array $inputs Neuron inputs/connections |
| 55 | * @param array $weights Input weights |
| 56 | * @param float $bias Input bias |
| 57 | * |
| 58 | * @since 1.0.0 |
| 59 | */ |
| 60 | public function __construct(array $inputs = [], array $weights = [], float $bias = 0.0) |
| 61 | { |
| 62 | $this->inputs = $inputs; |
| 63 | $this->weights = $weights; |
| 64 | $this->bias = $bias; |
| 65 | } |
| 66 | |
| 67 | /** |
| 68 | * Add neuron input |
| 69 | * |
| 70 | * @param mixed $input Input |
| 71 | * @param float $weight Weight of input |
| 72 | * |
| 73 | * @return void |
| 74 | * |
| 75 | * @since 1.0.0 |
| 76 | */ |
| 77 | public function addInput(mixed $input, float $weight) : void |
| 78 | { |
| 79 | $this->inputs[] = $input; |
| 80 | $this->weights[] = $weight; |
| 81 | } |
| 82 | |
| 83 | /** |
| 84 | * Create node output |
| 85 | * |
| 86 | * @return float |
| 87 | * |
| 88 | * @since 1.0.0 |
| 89 | */ |
| 90 | public function output() : float |
| 91 | { |
| 92 | $length = \count($this->inputs); |
| 93 | $output = 0.0; |
| 94 | |
| 95 | for ($i = 0; $i < $length; ++$i) { |
| 96 | $output += $this->inputs[$i]->output() * $this->weights[$i]; |
| 97 | } |
| 98 | |
| 99 | return $output + $this->bias; |
| 100 | // return $this->activationFunction($output + $this->bias); |
| 101 | } |
| 102 | } |