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draft neuralnet
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Ai/NeuralNetwork/Neuron.php
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92
Ai/NeuralNetwork/Neuron.php
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<?php
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/**
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* Orange Management
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*
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* PHP Version 8.0
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*
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* @package phpOMS\Ai\NeuralNetwork
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* @copyright Dennis Eichhorn
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* @license OMS License 1.0
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* @version 1.0.0
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* @link https://orange-management.org
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*/
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declare(strict_types=1);
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namespace phpOMS\Ai\NeuralNetwork;
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/**
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* Neuron
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*
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* @package phpOMS\Ai\NeuralNetwork
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* @license OMS License 1.0
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* @link https://orange-management.org
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* @since 1.0.0
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*/
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class Neuron {
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/**
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* Neuron inputs
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*
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* @var array
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* @since 1.0.0
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*/
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private array $inputs = [];
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/**
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* Input weights
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*
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* @var array
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* @since 1.0.0
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*/
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private array $weights = [];
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/**
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* Bias
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*
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* @var float
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* @since 1.0.0
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*/
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public float $bias = 0;
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/**
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* Constructor.
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*
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* @param array $inputs Neuron inputs/connections
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* @param array $weights Input weights
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* @param float $bias Input bias
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*
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* @since 1.0.0
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*/
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public function __construct(array $inputs = [], array $weights = [], float $bias = 0.0)
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{
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$this->inputs = $inputs;
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$this->weights = $weights;
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$this->bias = $bias;
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}
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public function addInput($input, float $weight)
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{
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$this->inputs[] = $input;
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$this->weights[] = $weight;
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}
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/**
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* Create node output
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*
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* @return float
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*
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* @since 1.0.0
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*/
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public function output() : float
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{
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$length = \count($this->intputs);
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$output = 0.0;
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for ($i = 0; $i < $length; ++$i) {
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$output += $this->inputs[$i]->output() * $this->weights[$i];
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}
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return $output + $this->bias;
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// return $this->activationFunction($output + $this->bias);
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}
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}
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