Basic prediction using neural networks (Synaptic.js)

synaptic_predict.js

/*
	Adapted from Lian Li’s (@chimney42) example:	
	https://slidr.io/Chimney42/machine-learning-with-synaptic
	https://www.youtube.com/watch?v=M5glN6XjDv8
	
	You need to include synaptic.js - visit https://caza.la/synaptic/
	
	See my own tests at https://codepen.io/tomsoderlund/pen/MvLZLW
*/

// 1. Learn
var learningDataSet = [
	{ input: [43.2, 54.2], output: [1, 0, 0] },
];
var network = new Architect.Perceptron(learningDataSet[0].input.length, 6, 6, learningDataSet[0].output.length);
var trainer = new Trainer(network);
trainer.train(learningDataSet, { rate: 0.0003, iterations: 100 });

// 2. Predict
var predictionDataSet = { input: [32.42, 634.4] };
predictionDataSet.output = network.activate(predictionDataSet.input);
console.log(predictionDataSet);

See my own Synaptic.js test at https://codepen.io/tomsoderlund/pen/MvLZLW