I'm relatively new to the world of JavaScript. I create a grid in which I can select any cells.
Now I would like to send all cells as binary with a Json document to the backend. For this purpose, an unselected cell should have a 0 and a selected one should have a 1. I orientate myself on Conway's Game of Life. I've been at it for 2 days now and don't know how best to implement it. Does anyone have an idea?
Here is my code to create the grid
var rows = 10;
var cols = 10;
var grid = new Array(rows);
var nextGrid = new Array(rows);
var startButton = document.getElementById('start');
startButton.addEventListener('click', event => {
initialize()
})
function initializeGrids() {
for (var i = 0; i < rows; i++) {
grid[i] = new Array(cols);
nextGrid[i] = new Array(cols);
}
}
function copyAndResetGrid() {
for (var i = 0; i < rows; i++) {
for (var j = 0; j < cols; j++) {
grid[i][j] = nextGrid[i][j];
}
}
}
// Initialize
function initialize() {
createTable();
initializeGrids();
}
// Lay out the board
function createTable() {
var gridContainer = document.getElementById('gridContainer');
if (!gridContainer) {
// Throw error
console.error("Problem: No div for the drid table!");
}
var table = document.createElement("table");
for (var i = 0; i < rows; i++) {
var tr = document.createElement("tr");
for (var j = 0; j < cols; j++) {
var cell = document.createElement("td");
cell.setAttribute("id", i + "_" + j);
cell.setAttribute("class", "dead");
cell.onclick = cellClickHandler;
tr.appendChild(cell);
}
table.appendChild(tr);
}
gridContainer.appendChild(table);
}
function cellClickHandler() {
var rowcol = this.id.split("_");
var row = rowcol[0];
var col = rowcol[1];
var classes = this.getAttribute("class");
if(classes.indexOf("live") > -1) {
this.setAttribute("class", "dead");
grid[row][col] = 0;
} else {
this.setAttribute("class", "live");
grid[row][col] = 1;
}
}
I tried to translate my web page using js but my code is not working here my code
<div class="navLan">
EN
<!-- <hr> -->
RU
<!-- <hr> -->
UZ
</div>
where user select languages and i used key to give attr to the element like this
<div class="listGroup">
<a href="#row3" class="hvr-grow nav-link lang" key='about'>About</a>
Courses
<a href="#row5" class="nav-link lang" key='reg'>Registration</a>
<a href="#row6" class="nav-link lang" key='news'>News</a>
<a href="#row7" class="nav-link lang" key='feedback'>Feedback</a>
<a href="#row8" class="nav-link lang" key='contact'>Contacts</a>
<div class="hr"></div>
</div>
at the end of the code in script tag i gave translation like this
var arrLang = {
'menu-item_en': {
'about':'About',
'courses':'Courses',
'reg':'Registration',
'news':'News',
'feedback':'Feedback',
'contact':'Contacts'
},
'menu-item_ru': {
'about':'About',
'courses':'Courses',
'reg':'Registration',
'news':'News',
'feedback':'Feedback',
'contact':'Contacts'
},
'menu-item_uz': {
'about':'Biz Haqimizda',
'courses':'Kurslar',
'reg':'Ro\'yxatdan o\'tmoq',
'news':'Yangiliklar',
'feedback':'Fikr-Mulohaza',
'contact':'Aloqa'
}
}
finally my js file here
function change_language(id) {
var lang = id;
document.cookie = "lang=" + lang + ";";
var elementss = document.getElementsByClassName('lang');
var placeholders = document.getElementsByClassName('placeholders');
if (document.cookie.split(';').filter(function (item) {
return item.indexOf('lang=menu-item_en') >= 0
}).length) {
for (let i = 0; i < elementss.length; i++) {
elementss[i].innerHTML = arrLang['menu-item_en'][elementss[i].getAttribute('key')];
}
for (let g = 0; g < placeholders.length; g++){
placeholders[g].setAttribute('placeholder', arrLang['menu-item_en'][placeholders[g].getAttribute('key')]);
}
} else if (document.cookie.split(';').filter(function (item) {
return item.indexOf('lang=menu-item_uz') >= 0
}).length) {
for (let i = 0; i < elementss.length; i++) {
elementss[i].innerHTML = arrLang['menu-item_uz'][elementss[i].getAttribute('key')];
}
for (let g = 0; g < placeholders.length; g++){
placeholders[g].setAttribute('placeholder', arrLang['menu-item_uz'][placeholders[g].getAttribute('key')]);
}
} else {
for (let i = 0; i < elementss.length; i++) {
elementss[i].innerHTML = arrLang['menu-item_ru'][elementss[i].getAttribute('key')];
}
for (let g = 0; g < placeholders.length; g++){
placeholders[g].setAttribute('placeholder', arrLang['menu-item_ru'][placeholders[g].getAttribute('key')]);
}
}
};
(function () {
var elementss = document.getElementsByClassName('lang');
var placeholders = document.getElementsByClassName('placeholders');
var inputs = document.getElementsByClassName('inputs');
if (document.cookie.split(';').filter(function (item) {
return item.indexOf('lang=menu-item_en') >= 0
}).length) {
for (let i = 0; i < elementss.length; i++) {
elementss[i].innerHTML = arrLang['menu-item_en'][elementss[i].getAttribute('key')];
}
for (let g = 0; g < placeholders.length; g++){
placeholders[g].setAttribute('placeholder', arrLang['menu-item_en'][placeholders[g].getAttribute('key')]);
}
for (let j = 0; j < inputs.length; j++){
inputs[j].setAttribute('value', arrLang['menu-item_en'][inputs[j].getAttribute('key')]);
}
} else if (document.cookie.split(';').filter(function (item) {
return item.indexOf('lang=menu-item_uz') >= 0
}).length) {
for (let i = 0; i < elementss.length; i++) {
elementss[i].innerHTML = arrLang['menu-item_uz'][elementss[i].getAttribute('key')];
}
for (let g = 0; g < placeholders.length; g++){
placeholders[g].setAttribute('placeholder', arrLang['menu-item_uz'][placeholders[g].getAttribute('key')]);
}
for (let j = 0; j < inputs.length; j++){
inputs[j].setAttribute('value', arrLang['menu-item_uz'][inputs[j].getAttribute('key')]);
}
} else {
for (let i = 0; i < elementss.length; i++) {
elementss[i].innerHTML = arrLang['menu-item_ru'][elementss[i].getAttribute('key')];
}
for (let g = 0; g < placeholders.length; g++){
placeholders[g].setAttribute('placeholder', arrLang['menu-item_ru'][placeholders[g].getAttribute('key')]);
}
for (let j = 0; j < inputs.length; j++){
inputs[j].setAttribute('value', arrLang['menu-item_ru'][inputs[j].getAttribute('key')]);
}
}
})();
anyone can correct me please?
Most likely when HTML is rendering you probably don't have change_language function, so onclick="change_language(this.id)" binds anything to onclick. Let's try to add addEventListener using javascript.
Here is a working example: https://jsfiddle.net/jugrae2z/
I'm trying to call a method walkDown(y,id){} on my object game and it returns undefined. The similar method walkUp(y,id){} works as intended. Here is the code:
class Game {
constructor(row,col,players) {
this.players = players;
this.row = row;
this.col = col;
this.gameBoard=[];
for (let i=0; i<row; i++){
this.gameBoard[i] =[];
for (let y =0; y<col; y++){
this.gameBoard[i][y] = 0;
}
}
}
placing(id){
var place = true;
while(place){
var y = Math.floor(Math.random()*10);
var x = Math.floor(Math.random()*10);
if (this.gameBoard[y][x] === 0){
this.gameBoard[y][x] = this.players[id];
place = false;
} //if finish
} // while finish
}// function placing finish
walkDown(y,id){
for(var k = 0; k < this.gameBoard.length; k++){
for(var m = 0; m < this.gameBoard[k].length; m++){
if(this.gameBoard[k][m]===this.players[id]){
this.gameBoard[k][m] = 0;
this.gameBoard[k+y][m]= this.players[id];
}
}
}
}
walkUp(y,id){
for(var k = 0; k < this.gameBoard.length; k++){
for(var m = 0; m < this.gameBoard[k].length; m++){
if(this.gameBoard[k][m]===this.players[id]){
this.gameBoard[k][m] = 0;
this.gameBoard[k-y][m]= this.players[id];
}
}
}
}
}// Class Game finish
class Player{
constructor(id){
this.id = id;
}
}
const game = new Game(10,10,[new Player(0), new Player(1)]);
game.placing(0);
game.placing(1);
// game.walkUp(1,0); will work
// game.walkDown(1,0); throws an error
The undefined comes from this line of code this.gameBoard[k+y][m]= this.players[id]. However as mentioned above the method walkUp(y,id){} with the similar line of code this.gameBoard[k-y][m]= this.players[id] presents the required result.
What am I doing wrong here? Link to the code
https://jsbin.com/kizateh/edit?js,console
I've tried to rewrite neural network found here to javascript. My javascript code looks like this.
function NeuralFactor(weight) {
var self = this;
this.weight = weight;
this.delta = 0;
}
function Sigmoid(value) {
return 1 / (1 + Math.exp(-value));
}
function Neuron(isInput) {
var self = this;
this.pulse = function() {
self.output = 0;
self.input.forEach(function(item) {
self.output += item.signal.output * item.factor.weight;
});
self.output += self.bias.weight;
self.output = Sigmoid(self.output);
};
this.bias = new NeuralFactor(isInput ? 0 : Math.random());
this.error = 0;
this.input = [];
this.output = 0;
this.findInput = function(signal) {
var input = self.input.filter(function(input) {
return signal == input.signal;
})[0];
return input;
};
}
function NeuralLayer() {
var self = this;
this.pulse = function() {
self.neurons.forEach(function(neuron) {
neuron.pulse();
});
};
this.neurons = [];
this.train = function(learningRate) {
self.neurons.forEach(function(neuron) {
neuron.bias.weight += neuron.bias.delta * learningRate;
neuron.bias.delta = 0;
neuron.input.forEach(function(input) {
input.factor.weight += input.factor.delta * learningRate;
input.factor.delta = 0;
})
})
}
}
function NeuralNet(inputCount, hiddenCount, outputCount) {
var self = this;
this.inputLayer = new NeuralLayer();
this.hiddenLayer = new NeuralLayer();
this.outputLayer = new NeuralLayer();
this.learningRate = 0.5;
for(var i = 0; i < inputCount; i++)
self.inputLayer.neurons.push(new Neuron(true));
for(var i = 0; i < hiddenCount; i++)
self.hiddenLayer.neurons.push(new Neuron());
for(var i = 0; i < outputCount; i++)
self.outputLayer.neurons.push(new Neuron());
for (var i = 0; i < hiddenCount; i++)
for (var j = 0; j < inputCount; j++)
self.hiddenLayer.neurons[i].input.push({
signal: self.inputLayer.neurons[j],
factor: new NeuralFactor(Math.random())
});
for (var i = 0; i < outputCount; i++)
for (var j = 0; j < hiddenCount; j++)
self.outputLayer.neurons[i].input.push({
signal: self.hiddenLayer.neurons[j],
factor: new NeuralFactor(Math.random())
});
this.pulse = function() {
self.hiddenLayer.pulse();
self.outputLayer.pulse();
};
this.backPropagation = function(desiredResults) {
for(var i = 0; i < self.outputLayer.neurons.length; i++) {
var outputNeuron = self.outputLayer.neurons[i];
var output = outputNeuron.output;
outputNeuron.error = (desiredResults[i] - output) * output * (1.0 - output);
}
for(var i = 0; i < self.hiddenLayer.neurons.length; i++) {
var hiddenNeuron = self.hiddenLayer.neurons[i];
var error = 0;
for(var j = 0; j < self.outputLayer.neurons.length; j++) {
var outputNeuron = self.outputLayer.neurons[j];
error += outputNeuron.error * outputNeuron.findInput(hiddenNeuron).factor.weight * hiddenNeuron.output * (1.0 - hiddenNeuron.output);
}
hiddenNeuron.error = error;
}
for(var j = 0; j < self.outputLayer.neurons.length; j++) {
var outputNeuron = self.outputLayer.neurons[j];
for(var i = 0; i < self.hiddenLayer.neurons.length; i++) {
var hiddenNeuron = self.hiddenLayer.neurons[i];
outputNeuron.findInput(hiddenNeuron).factor.delta += outputNeuron.error * hiddenNeuron.output;
}
outputNeuron.bias.delta += outputNeuron.error * outputNeuron.bias.weight;
}
for(var j = 0; j < self.hiddenLayer.neurons.length; j++) {
var hiddenNeuron = self.hiddenLayer.neurons[j];
for(var i = 0; i < self.inputLayer.neurons.length; i++) {
var inputNeuron = self.inputLayer.neurons[i];
hiddenNeuron.findInput(inputNeuron).factor.delta += hiddenNeuron.error * inputNeuron.output;
}
hiddenNeuron.bias.delta += hiddenNeuron.error * hiddenNeuron.bias.weight;
}
};
this.train = function(input, desiredResults) {
for(var i = 0; i < self.inputLayer.neurons.length; i++) {
var neuron = self.inputLayer.neurons[i];
neuron.output = input[i];
}
self.pulse();
self.backPropagation(desiredResults);
self.hiddenLayer.train(self.learningRate);
self.outputLayer.train(self.learningRate);
};
}
Now I'm trying to learn it how to resolve XOR problem. I'm teaching it like this:
var net = new NeuralNet(2,2,1);
var testInputs = [[0,0], [0,1], [1,0], [1,1]];
var testOutputs = [[1],[0],[0],[1]];
for (var i = 0; i < 1000; i++)
for(var j = 0; j < 4; j++)
net.train(testInputs[j], testOutputs[j]);
function UseNet(a, b) {
net.inputLayer.neurons[0].output = a;
net.inputLayer.neurons[1].output = b;
net.pulse();
return net.outputLayer.neurons[0].output;
}
The problem is that all results that I get is close to 0.5 and pretty random, no matter what arguments I use. For example:
UseNet(0,0) => 0.5107701166677714
UseNet(0,1) => 0.4801498747476413
UseNet(1,0) => 0.5142463167153447
UseNet(1,1) => 0.4881829364416052
What can be wrong with my code?
This network is big enough for the XOR problem and I can't see any obvious mistakes, so I suspect it's getting stuck in a local minimum.
Try going through the training set 10,000 times instead of 1000; this gives it a better chance of breaking out of any minima and converging. You can also increase convergence a lot by upping the number of hidden neurons, tweaking η (the learning rate) or adding momentum. To implement the latter, try using this as your training function:
this.train = function(learningRate) {
var momentum = 0 /* Some value, probably fairly small. */;
self.neurons.forEach(function(neuron) {
neuron.bias.weight += neuron.bias.delta * learningRate;
neuron.bias.delta = 0;
neuron.input.forEach(function(input) {
input.factor.weight += (input.factor.delta * learningRate) + (input.factor.weight * momentum);
input.factor.delta = 0;
})
})
}
I've had good results changing the learning rate to 1.5 (which is pretty high) and momentum to 0.000001 (which is pretty small).
(Incidentally, have you tried running the .NET implementation with a few different seeds? It can take quite a while to converge too!)
This system uses fuzzy logic. As it says in the article don't use integers instead use "close" real numbers as the article suggests -- try
UseNet(0.1,0.1) =>
UseNet(0.1,0.9) =>
UseNet(0.9,0.1) =>
UseNet(0.9,0.9) =>
For the results anything above 0.5 is a 1 and below is 0
Hmmmm
Try instead of:
var testInputs = [[0,0], [0,1], [1,0], [1,1]];
var testOutputs = [[1],[0],[0],[1]];
This:
var testInputs = [[0.05,0.05], [0.05,0.95], [0.95,0.05], [0.95,0.95]];
var testOutputs = [[1],[0],[0],[1]];
or
var testInputs = [[0,0], [0,1], [1,0], [1,1]];
var testOutputs = [[0.95],[0.05],[0.05],[0.95]];
I want to show the first row of the table in alert message at a time
function GetCellValues() {
var rows = document.getElementsByTagName('tr');
for (var c = 0; c < rows.length; c++) {
var row = rows[c];
var inputs = row.getElementsByTagName('input');
for (var k = 0; k < inputs.length; k++) {
alert(inputs[k].value);
//here I want some code to show the first table row at a time.
}
}
}
window.onload = function () {
makeTable();
};
Try This,
function GetCellValues() {
var rows = document.getElementsByTagName('tr');
for (var c = 0; c < rows.length; c++) {
var row = rows[c];
var inputs = row.getElementsByTagName('input');
var inputValList=[];
for (var k = 0; k < inputs.length; k++) {
// alert(inputs[k].value);
inputValList.push(inputs[k].value);
}
if(inputValList.length>0){
alert(inputValList);
}
}
}
I just hope...this will solve your problem.