This is an implementation of the perceptron learning algorithm for node.js.
npm install perceptron
Let's teach a perceptron to implement a boolean AND function:
var perceptron = require('perceptron')
var and = perceptron()
and.train([1, 1], 1)
and.train([0, 1], 0)
and.train([1, 0], 0)
and.train([0, 0], 0)
// practice makes perfect (we hope...)
while(!and.retrain()) {}
and.perceive([1, 1]) // => 1
and.perceive([0, 1]) // => 0
and.perceive([1, 0]) // => 0
and.perceive([0, 0]) // => 0
The perceptron starts with random weights if you don't provide any defaults.
Weights are adjusted according to the delta rule each time you call train and
the current weights give the wrong answer. Since this adjustment can cause the
perceptron to 'unlearn' previously learned inputs, retrain iterates over all
previous inputs, calling train again. Both train and retrain return a
boolean success value, indicating if the input(s) were learned.