Addition with neural networks

addition.js

var brain = require('brain.js')
var net = new brain.NeuralNetwork();

console.log('Generating training data...');
var data = [];
for(var i=0; i<100000; i++) {
    var obj = {};
    obj.input = [];
    obj.input[0] = Math.random();
    obj.input[1] = Math.random();
    obj.output = [];
    obj.output[0] = obj.input[0] + obj.input[1];    
    if(obj.output[0] > 1) continue;
    data.push(obj);
}
console.log('Done.');

console.log('Training...');
var meta = net.train(data);
console.log('Done. (' + meta.iterations + ' iterations)');

function round(a) {
    var b = 2;
    var num = (Math.round(a * Math.pow(10, b)));
    num += "";
    while(num.length < b)
        num = "0" + num
    return num;
}

function attempt(a, b) {    
    if(a + b > 1) { a /= 2; b /= 2; }
    var res = net.run([a, b]);
    console.log(round(a) + ' + ' + round(b) + ' = ' + round( a + b) + ' \u2248 ' + round(res));
    
}

for(var i=0; i<10; i++)
    attempt(Math.random(), Math.random())