org.neuroph.samples

Class IrisClassificationSample

java.lang.Object

org.neuroph.samples.IrisClassificationSample

public class IrisClassificationSample
extends java.lang.Object

This sample shows how to train MultiLayerPerceptron neural network for iris classification problem using Neuroph For more details about training process, error, iterations use NeurophStudio which provides rich environment for training and inspecting neural networks

Constructor Summary

Constructors

Constructor and Description
IrisClassificationSample()

Method Summary

Modifier and Type	Method and Description
static void	main(java.lang.String[] args) Runs this sample
static void	testNeuralNetwork(NeuralNetwork neuralNet, DataSet testSet) Prints network output for the each element from the specified training set.

Methods inherited from class java.lang.Object

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

Constructor Detail

IrisClassificationSample

public IrisClassificationSample()

Method Detail

main

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

Runs this sample

testNeuralNetwork

public static void testNeuralNetwork(NeuralNetwork neuralNet,
                                     DataSet testSet)

Prints network output for the each element from the specified training set.

Parameters:

neuralNet - neural network

testSet - test data set