NeuralNetworks Perceptron

Perceptron(int n) {

    weights = new float[n];

    for (int i = 0; i < weights.length; i++) {

The weights are picked randomly to start.

      weights[i] = random(-1,1);

    }

  }

​

float[] inputs  = {12 , 4};

float[] weights = {0.5,-1};

​

float sum =0;

for(int i =0;i < inputs.length;i++)

    {

      sum += inputs[i] * weights[i];

}

​

float output = activate(sum);

​

int activate(float sum) {

// Return a 1 if positive, -1 if negative.

  if (sum > 0) return 1;

  else return -1;

} // End activate

​

function setup() {

  createCanvas(windowWidth, windowHeight);

  background(100);

​

}

​

function draw() {

  // ellipse(mouseX, mouseY, 20, 20);

}