Benchmarking and Comparing Encog, Neuroph and JOONE Neural Networks

import org.encog.neural.data.NeuralData;
import org.encog.neural.data.basic.BasicNeuralData;

/**
 * Class used to generate random training sets.  This will always generate
 * the same number outputs, as it always uses the same seed values.  This
 * allows for the consistent results needed by the benchmark.
 */
public class GenerateData {

	private double[][] ideal;
	private double[][] input;

	private double randomRange(double min,double max)
	{
		double n = max - min + 1;
		double i = Math.random() % n;
		return  min + i;

	}

	public void generate(final int count, final int inputCount,
			final int idealCount, final double min, final double max) {

		this.input = new double[count][inputCount];
		this.ideal = new double[count][idealCount];

		for (int i = 0; i < count; i++) {

			for (int j = 0; j < inputCount; j++) {
				input[i][j] = randomRange(min,max);
			}

			for (int j = 0; j < idealCount; j++) {
				ideal[i][j] = randomRange(min, max);
			}
		}
	}

	public double[][] getInput() {
		return this.input;
	}

	public double[][] getIdeal() {
		return this.ideal;
	}

}