Neuroph Example

neuralnet.groovy

@Grab('org.beykery:neuroph:2.92')

import org.neuroph.core.*;
import org.neuroph.nnet.Perceptron
import org.neuroph.core.data.*


NeuralNetwork neuralNetwork = new Perceptron(2, 1);

DataSet trainingSet = new DataSet(2, 1)
trainingSet.addRow(new DataSetRow( [0.0, 11.0] as double[], [11.0] as double[]));
trainingSet.addRow(new DataSetRow( [2.0, 3.0] as double[], [5.0] as double[]));
trainingSet.addRow(new DataSetRow( [1.0, 1.0] as double[], [2.0] as double[]));

neuralNetwork.learn(trainingSet);

// set network input
neuralNetwork.setInput(1, 7);
// calculate network
neuralNetwork.calculate();
// get network output
double[] networkOutput = neuralNetwork.getOutput();

println networkOutput