Package gov.nih.mipav.model.algorithms

Class Backpropagation.NeuralNetwork

java.lang.Object

gov.nih.mipav.model.algorithms.Backpropagation.NeuralNetwork

Enclosing class:

Backpropagation

public class Backpropagation.NeuralNetwork
extends Object

Field Summary

Fields

Modifier and Type	Field	Description
private final ArrayList<Backpropagation.Neuron[]>	hiddenLayers
private final ArrayList<Backpropagation.Neuron>	inputLayer
private ArrayList<Double[]>	inputs
private double	learningRate
private double	momentum
private ArrayList<Double>	outputKinds
private final ArrayList<Backpropagation.Neuron>	outputLayer
private final Random	rand

Constructor Summary

Constructors

Constructor	Description
NeuralNetwork(ArrayList<Double[]> inputs, ArrayList<Double> outputKinds, String hidden, double momentum, double learningRate, double threshold, double minRange, double maxRange)

Method Summary

Modifier and Type	Method	Description
private void	activate()
private void	applyBackpropagation(Double[] expectedOutput)
private Double[]	getOutput()
int[]	getOutputKind(ArrayList<Double[]> inputs, int maxSteps, double minError)
private Double	getRandomNumber(Double minRange, Double maxRange)
private void	printAllWeights()
private void	printWeights(Backpropagation.Neuron n)
String	run(int maxSteps, double minError)
private void	setInput(Double[] inputs)
String	test(ArrayList<Double[]> inputs, int maxSteps, double minError)

Methods inherited from class java.lang.Object

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

Field Details

rand

private final Random rand

inputLayer

private final ArrayList<Backpropagation.Neuron> inputLayer

hiddenLayers

private final ArrayList<Backpropagation.Neuron[]> hiddenLayers

outputLayer

private final ArrayList<Backpropagation.Neuron> outputLayer

momentum

private double momentum

learningRate

private double learningRate

inputs

private ArrayList<Double[]> inputs

outputKinds

private ArrayList<Double> outputKinds

Constructor Details

NeuralNetwork

public NeuralNetwork(ArrayList<Double[]> inputs,
 ArrayList<Double> outputKinds,
 String hidden,
 double momentum,
 double learningRate,
 double threshold,
 double minRange,
 double maxRange)

Method Details

getRandomNumber

private Double getRandomNumber(Double minRange,
 Double maxRange)

setInput

private void setInput(Double[] inputs)

getOutput

private Double[] getOutput()

activate

private void activate()

applyBackpropagation

private void applyBackpropagation(Double[] expectedOutput)

run

public String run(int maxSteps,
 double minError)

test

public String test(ArrayList<Double[]> inputs,
 int maxSteps,
 double minError)

getOutputKind

public int[] getOutputKind(ArrayList<Double[]> inputs,
 int maxSteps,
 double minError)

printAllWeights

private void printAllWeights()

printWeights

private void printWeights(Backpropagation.Neuron n)