function main()
{
$ret = new TomoeReturn();
//返回客户端的信息
$type = isset($_POST['type']) ? $_POST['type'] : null;
//$type = TYPE_RECOGNIZE; //debug
if (!isset($type)) {
$ret->msgno = MSG_ERR;
//提示没有输入
$ret->msg = MSG_ERR_NOINPUT;
} else {
switch ($type) {
case TYPE_RECOGNIZE:
//识别
$writing = isset($_POST['c']) ? json_decode($_POST['c']) : null;
//获取客户端传过来的笔画
$rank = isset($_POST['rank']) ? $_POST['rank'] : 100;
//$rank = 10; //debug
//$writing = debug_getInput(); //debug
recognize($ret, $writing, $rank);
break;
case TYPE_GET_CHARS:
//获取汉字（用于学习）
$trainType = isset($_POST['trainType']) ? $_POST['trainType'] : null;
$char = isset($_POST['c']) ? $_POST['c'] : null;
$unicodeFrom = isset($_POST['unicodeFrom']) ? $_POST['unicodeFrom'] : null;
$unicodeTo = isset($_POST['unicodeTo']) ? $_POST['unicodeTo'] : null;
get_chars($ret, $trainType, $char, $unicodeFrom, $unicodeTo);
break;
case TYPE_LEARN:
//学习
$writing = isset($_POST['c']) ? json_decode($_POST['c']) : null;
//获取客户端传过来的笔画
$id = isset($_POST['id']) ? $_POST['id'] : null;
$user_id = isset($_POST['user_id']) ? $_POST['user_id'] : null;
//$id = 1; //debug;
//$writing = debug_getInput();//debug;
learn($ret, $writing, $id, $user_id);
//debug_train($writing, $ret);
break;
case TYPE_GET_WRITINGS:
//获取笔迹（用于管理）
$char = isset($_POST['c']) ? $_POST['c'] : null;
getWritings($ret, $char);
break;
case TYPE_DEL_WRITING:
//删除某笔画
//delWriting($writing, $ret);
break;
case TYPE_UNKNOWN:
//未知请求
//未知请求
default:
$ret->msgno = MSG_ERR;
$ret->msg = MSG_ERR_UNKNOWN_REQUEST;
break;
}
}
echo json_encode($ret);
}
function start()
{
$neuralNetwork = new NeuralNetwork(12, [25, 12]);
$trainingDatas = prepareTrainingDatas();
learn($neuralNetwork, $trainingDatas);
test($neuralNetwork);
//echo $neuralNetwork->calculate([1]);
//echo '<pre>'.print_r($neuralNetwork, true).'</pre>';
}
function start()
{
$neuron = new NeuronHebb(12);
$trainingDatas = [new TrainingData([-1, -1, 1, -1, -1, 1, -1, -1, 1, -1, -1, 1], -1), new TrainingData([1, -1, 1, 1, 1, 1, 1, -1, -1, 1, -1, -1, 1], 1)];
learn($neuron, $trainingDatas);
echo $neuron->calculate([-1, -1, 1, -1, -1, 1, -1, -1, 1, -1, -1, 1]) . '<br>';
echo $neuron->calculate([1, -1, 1, 1, 1, 1, 1, -1 - 1, 1, -1, -1, 1]) . '<br>';
echo $neuron->calculate([1, 1, 1, -1, -1, 1, -1, -1, 1, -1, -1, 1]) . '<br>';
}
function start()
{
$neuron = new NeuronSigmoidal(2);
$trainingDatas = prepareTrainingDatas();
learn($neuron, $trainingDatas);
test($neuron);
//echo $neuralNetwork->calculate([1]);
//echo '<pre>'.print_r($neuralNetwork, true).'</pre>';
}
<?php require '../lib/libsql.php'; require '../lib/libbayes.php'; $text = $_REQUEST['text']; $spam = $_REQUEST['spam']; learn($text, $spam);
/**
* Parses startup.xml
*
* Loads the startup.xml in the botloading process.
* XML parses the startup.xml file.
*
* @todo Seperate the XML reading from the processing code. Perhaps making a seperate class for this.
*
* @see botloader.php
* @see botloaderinc.php
* @uses learn()
* @uses startS()
* @uses endS()
* @uses handlemeS()
*
* @global string the rootdirectory
* @global array Files to be learned
* @global array All the different bots in the startup.xml file
* @global integer ID of the selected bot
* @global boolean ????
*
* @return void prints HTML
*/
function loadstartup()
{
global $rootdir, $learnfiles, $allbots, $selectbot, $areinc;
$areinc = 1;
print "<font size='3'>Loading startup.xml<br /></font>\n";
$learnfiles = array();
// This array will hold the files to LEARN
$file = $rootdir . "startup.xml";
$xml_parser = xml_parser_create();
xml_parser_set_option($xml_parser, XML_OPTION_CASE_FOLDING, 0);
xml_set_element_handler($xml_parser, "startS", "endS");
xml_set_character_data_handler($xml_parser, "handlemeS");
if (!($fp = fopen($file, "r"))) {
die("could not open XML input");
}
while ($data = fread($fp, 4096)) {
if (!xml_parse($xml_parser, $data, feof($fp))) {
die(sprintf("XML error: %s at line %d", xml_error_string(xml_get_error_code($xml_parser)), xml_get_current_line_number($xml_parser)));
}
}
xml_parser_free($xml_parser);
# For each of the bots learn all of the files
foreach ($allbots as $bot) {
print "<font size='3' color='BLUE'><b>Loaded bot: {$bot}<br /></b></font>\n";
$single_learnfiles = $learnfiles[$bot];
$single_learnfiles = array_unique($single_learnfiles);
foreach ($single_learnfiles as $file) {
$selectbot = $bot;
learn($file);
}
}
}
function learn($letters, Perceptron $perceptron)
{
$learnFor = 11;
$iterations = 100;
display($perceptron->weights);
for ($i = 0; $i <= $iterations; $i++) {
foreach ($letters as $letterNumber => $fonts) {
$isCorrect = $letterNumber == $learnFor;
foreach ($fonts as $letter) {
//if ($i % 250 == 0)
// display($letter, '#999');
$perceptronResponse = $perceptron->calculate($letter);
if ($perceptronResponse == $isCorrect) {
//if ($i % 250 == 0)
// display($perceptron->weights, 'green');
continue;
}
//if ($i % 250 == 0)
//display($perceptron->weights, 'red');
$perceptron->correctWeights($letter, (int) $isCorrect, (int) $perceptronResponse);
}
}
//if ($i % 250 == 0)
// display($perceptron->weights);
}
display($perceptron->weights);
}
learn($letters, $perceptron);
foreach ($lettersTest as $letterTest) {
display($letterTest[0], $perceptron->calculate($letterTest[0]) ? 'green' : '#666');
}
<?php
set_time_limit(86400);
require '../lib/libsql.php';
require '../lib/libbayes.php';
$files = glob('data/bbc/*/*.txt');
foreach ($files as $file) {
echo "{$file}: ";
$text = file_get_contents($file);
if (!$text) {
continue;
}
learn($text, 0);
}
$files = glob('data/spam_out*.txt');
foreach ($files as $file) {
echo "{$file}: ";
$text = file_get_contents($file);
if (!$text) {
continue;
}
learn($text, 1);
}
echo "Mission complete";
if (!password_verify($pass, $hash)) {
echo "sorry.\n";
exit(0);
}
$user = sql_single_query("select * from users where nick='" . mysql_real_escape_string($nick) . "'");
if ($user == NULL) {
echo "sorry.\n";
exit(0);
}
echo "Welcome to your lesson {$nick}\n";
$courses_available = sql_resultset("select course_id,description,tag from user_courses,courses where user_id='{$user['id']}' and course_id=courses.id");
echo "Available courses:\n";
$i = 0;
foreach ($courses_available as $course) {
echo "{$i}: {$course['description']}\n";
$i++;
}
do {
$course = termline("Which course would you like to study?");
if ($course == NULL) {
exit(0);
}
} while ($course >= count($courses_available));
// what the user is learning should come from the 'courses' table
$learning = substr($courses_available[$course]['tag'], 1, strlen($courses_available[$course]['tag']) - 2);
echo "learning {$learning}";
// track performance during this session
$user['ngood'] = 0;
$user['nfalse'] = 0;
while (learn($user, $learning)) {
}