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Message: count(): Parameter must be an array or an object that implements Countable

Filename: controllers/perceptron.php

Line Number: 165

epoch: 100, w0= 1 | w1= 0 | w2= 0 | w3= 0

سورس کد


<?php

defined('BASEPATH') OR exit('No direct script access allowed');



class Perceptron extends CI_Controller {





    public $learningRate = 0.5;

    //public $output;

    public $bias  = 0;

    public $vectorLength = 2;

    public $weightVector; // آرایه تصادفی ها به تعداد vectorLength 

    //public $epoch = 0;

    public $epochLimit = 100;



    public function index()

    {

        echo '<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />';



        $this->setWeightRandom();

        $epoch = 0;

        // AND Gate

        //مثال آموزشی

        $data = [

            [[0, 0], 0],

            [[0, 1], 0],

            [[1, 0], 0],

            [[1, 1], 1],

        ];

        

        $satisfied = false;

        $cnt=0;

        $color="black";

        echo "<b>AND Gate 2x:</b> <br/>";

        while (!$satisfied and $cnt<$this->epochLimit)

        {

            foreach ($data as $trainSample)

            {

                $this->train($trainSample[0], $trainSample[1]);

            }



            //test weights

            $status = true;

            foreach ($data as $trainSample)

            {

                if ($this->test($trainSample[0]) != $trainSample[1])

                {

                    $status = false;

                }

            }

            if ($status == true)

            {

                $satisfied = true;

            }

            

            $epoch++;

            

            if($satisfied==true)

                $color= "red";

            

            echo "<span style='color:$color'>epoch: $epoch,  w0= ".$this->bias . " | w1= ".$this->weightVector[0]." | w2= ". $this->weightVector[1]. "</span><br/>" ;

        $cnt++;    

            

        }

        

        

        

        

        $this->bias  = 0;

        $this->vectorLength = 3;

        $this->weightVector="";

        

        

        

        $this->setWeightRandom();

        $epoch = 0;

        // AND Gate

        //مثال آموزشی

        $data = [

            [[0, 0, 0], 0],

            [[0, 1, 0], 0],

            [[0, 1, 1], 0],

            [[1, 0, 0], 0],

            [[1, 0, 1], 0],

            [[1, 1, 0], 0],

            [[1, 1, 1], 1],

            

        ];

        $color="black";

        $satisfied = false;

        $cnt=0;

        echo "<br/><b>AND Gate 3x:</b> <br/>";

        while (!$satisfied and $cnt<$this->epochLimit)

        {

            foreach ($data as $trainSample)

            {

                $this->train($trainSample[0], $trainSample[1]);

            }



            //test weights

            $status = true;

            foreach ($data as $trainSample)

            {

                if ($this->test($trainSample[0]) != $trainSample[1])

                {

                    $status = false;

                }

            }

            if ($status == true)

            {

                $satisfied = true;

            }

            

            $epoch++;

            

            if($satisfied==true)

                $color= "red";

            

            echo "<span style='color:$color'>epoch: $epoch,  w0= ".$this->bias . " | w1= ".$this->weightVector[0]." | w2= ". $this->weightVector[1]. " |  w3= ". $this->weightVector[2]. "</span><br/>" ;

        $cnt++;    

            

        }

        

        

        

        

        echo '<div dir="ltr">';

echo '<h4>سورس کد</h4>';

        echo show_source(__FILE__);

    }

    

    



    private function train($input, $result)

    {

        // Test if current weights are Valid

        // Do test on input

        

        $output = $this->test($input);

        if ($output != $result)

        {

            //we need to change weights

            for ($i = 0; $i < $this->vectorLength; $i++)

            {

                //wi + 1/2(result - output)*xi

                $this->weightVector[$i] =

                    $this->weightVector[$i] + $this->learningRate * ((int)$result - (int)$output) * $input[$i];

            }

        }

        

        $this->bias = $this->bias + ((int)$result - (int)$output);

    }



    private function test($input)

    {

        // return w0 + x1w1 + x2w2 

        $testResult = $this->dotVectors($this->weightVector, $input) + $this->bias;

        return $testResult > 0 ? 1 : 0;

    }





    private function dotVectors($vector1, $vector2)

    {

        //وزن های تصادفی را با ورودی ها جمع میکند و برمیگرداند

        $total = 0;

        $dim = count($vector1);

        for ($i = 0; $i < $dim; $i++) {

            $total += $vector1[$i] * $vector2[$i];

        }

        return $total;

    }





    private function setWeightRandom()

    {

        // وزن های تصادفی به W ها میدهد

        for ($i = 0; $i < $this->vectorLength; $i++) {

            $this->weightVector[$i] = rand(0, 1);

        }

    }

}