public function learn()
{
echo '<h3>Start Learning</h3>';
$normalization = new Normalization(1200, 17000000, 0, 1);
$right_answers = 0;
for ($iteration = 0; $iteration < 2000; $iteration++) {
$captcha = new KCaptcha();
$real_answer = intval($captcha->getKeyString());
$expect_outs = $this->getExpects($real_answer);
$inputs = $normalization->import($captcha->getPoints());
unset($captcha);
$output1 = $this->network->calculate(1, $inputs);
$output2 = $this->network->calculate(2, $output1);
$right_answers += $this->renderAnswer($real_answer, $output2);
$E = $this->network->correctWeights($output2, $output1, $expect_outs);
if ($E < 0.15) {
echo 'Iteration ' . ($iteration + 1) . '; E=' . $E . '<br>';
}
if ($E < 0.1) {
echo '<p id="finished">Learning is finished</p>';
break;
}
}
$this->network->saveState('learned-1');
echo '<pre>';
var_dump($this->network->getWeights(1));
echo '</pre>';
echo '<pre>';
var_dump($this->network->getWeights(2));
echo '</pre>';
echo '<p>Iterations: ' . $iteration . '</p>';
echo '<p>Right answers: ' . $right_answers . '</p>';
}
<?php /* * To change this license header, choose License Headers in Project Properties. * To change this template file, choose Tools | Templates * and open the template in the editor. */ require_once '/lib/kcaptcha/KCaptcha.php'; $captcha = new KCaptcha(); $captcha->draw();
/*
* To change this license header, choose License Headers in Project Properties.
* To change this template file, choose Tools | Templates
* and open the template in the editor.
*/
define('PATH', __DIR__);
require_once '/lib/Neuron.php';
require_once '/lib/Normalization.php';
require_once '/lib/kcaptcha/KCaptcha.php';
require_once '/lib/Network.php';
require_once '/lib/Teacher.php';
echo '<script type="text/javascript" src="/js/jquery-1.11.3.min.js"></script>';
echo '<script type="text/javascript" src="/js/main.js"></script>';
echo '<h1>Neural Network</h1>';
$normalization = new Normalization(1200, 17000000, 0, 1);
$captcha = new KCaptcha();
$inputs = $normalization->import($captcha->getPoints());
$network = new Network();
$network->loadState('learned-1');
//$w = $network->getWeights(2);
/*
$outs1 = $network->calculate(1, $inputs);
$outs2 = $network->calculate(2, $outs1);
*/
/*
echo '<pre>';
var_dump($outs2);
echo '</pre>';
*/
$teacher = new Teacher($network);
$teacher->learn();
