org.neuroph.contrib.samples.timeseries

Class GenerateTrainingSets

java.lang.Object

org.neuroph.contrib.samples.timeseries.GenerateTrainingSets

public class GenerateTrainingSets
extends java.lang.Object

Very simple class which just wraps up the generation of the time-series predicition training sets. You can alter this to generate differing data sets. I.e. different samplig rates (frequency) and differing sizes of memory. See http://neuroph.sourceforge.net/TimeSeriesPredictionTutorial.html

Constructor Summary

Constructors

Constructor and Description
GenerateTrainingSets()

Method Summary

Modifier and Type	Method and Description
static void	main(java.lang.String[] args) Generates datasets used in time series prediction tutorial

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

GenerateTrainingSets

public GenerateTrainingSets()

Method Detail

main

public static void main(java.lang.String[] args)

Generates datasets used in time series prediction tutorial