createCanvas(400, 400);

    // create the network

  const { Layer, Network } = window.synaptic;

​

  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 = 0.3;

  for (var i = 0; i < 20000; i++)

  {

      let hx = random()

      let bx = random()

      myNetwork.activate([hx,bx]);

      if(hx > bx){

        myNetwork.propagate(learningRate, [0]);

      } else if(hx < bx) {

        myNetwork.propagate(learningRate, [1]);

      } else if(hx == bx){

        myNetwork.propagate(learningRate, [0.5]);

      }

​

  }

​

  // test the network

  let score = 0

  let tests = 100

  for(let i = 0; i < tests; i++){

    let hx = random()

    let bx = random()

    let nnOut = myNetwork.activate([0,0])[0];

​

    if( ( (hx>bx) && (nnOut<0.5) ) || ( (hx<bx) && (nnOut>0.5) ) ) score++

  }

  print("the network was correct "+((score/tests)*100)+"% of the time")

​

}

​

function draw() {

  background(220);

}