xor.js

const synaptic = require('synaptic');

const Layer = synaptic.Layer;
const Network = synaptic.Network;
const Trainer = synaptic.Trainer;

// create the network
var inputLayer = new Layer(2);
var hiddenLayer = new Layer(3);
var outputLayer = new Layer(1);

inputLayer.project(hiddenLayer);
hiddenLayer.project(outputLayer);

var myNetwork = new Network({
	input: inputLayer,
	hidden: [hiddenLayer],
	output: outputLayer
});

// train the network
var learningRate = .3;
for (var i = 0; i < 20000; i++)
{
	// 0,0 => 0
	myNetwork.activate([0,0]);
	myNetwork.propagate(learningRate, [0]);

	// 0,1 => 1
	myNetwork.activate([0,1]);
	myNetwork.propagate(learningRate, [1]);

	// 1,0 => 1
	myNetwork.activate([1,0]);
	myNetwork.propagate(learningRate, [1]);

	// 1,1 => 0
	myNetwork.activate([1,1]);
	myNetwork.propagate(learningRate, [0]);
	console.log("iterasi", i + 1)
	console.log("MyNetwork", myNetwork);
}


// test the network
console.log("myNetwork.activate([0,0])", myNetwork.activate([0,0]));
console.log("myNetwork.activate([0,1])", myNetwork.activate([0,1]));
console.log("myNetwork.activate([1,0])", myNetwork.activate([1,0]));
console.log("myNetwork.activate([1,1])", myNetwork.activate([1,1]));