Package schule.ngb.zm.ml

Class NeuralNetwork

java.lang.Object

schule.ngb.zm.ml.NeuralNetwork

public class NeuralNetwork
extends Object

Constructor Summary

Constructors

Constructor	Description
NeuralNetwork(int inputs, int layer1, int outputs)
NeuralNetwork(int inputs, int layer1, int layer2, int outputs)
NeuralNetwork(int inputs, int layer1, int layer2, int layer3, int outputs)
NeuralNetwork(List<NeuronLayer> layers)
NeuralNetwork(NeuronLayer... layers)

Method Summary

Modifier and Type	Method	Description
NeuronLayer	getLayer(int i)
int	getLayerCount()
NeuronLayer[]	getLayers()
double	getLearningRate()
MLMatrix	getOutput()
void	learn(double[][] expected)
void	learn(MLMatrix expected)
static NeuralNetwork	loadFromDataFile(String source)
static NeuralNetwork	loadFromFile(String source)
MLMatrix	predict(double[] inputs)
MLMatrix	predict(double[][] inputs)
MLMatrix	predict(MLMatrix inputs)
static void	saveToDataFile(String source, NeuralNetwork network)
static void	saveToFile(String source, NeuralNetwork network)
void	setLearningRate(double pLearningRate)
void	train(double[][] inputs, double[][] expected, int iterations)

Methods inherited from class java.lang.Object

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

Constructor Details

NeuralNetwork

public NeuralNetwork(int inputs,
 int layer1,
 int outputs)

NeuralNetwork

public NeuralNetwork(int inputs,
 int layer1,
 int layer2,
 int outputs)

NeuralNetwork

public NeuralNetwork(int inputs,
 int layer1,
 int layer2,
 int layer3,
 int outputs)

NeuralNetwork

public NeuralNetwork(List<NeuronLayer> layers)

NeuralNetwork

public NeuralNetwork(NeuronLayer... layers)

Method Details

saveToFile

public static void saveToFile(String source,
 NeuralNetwork network)

saveToDataFile

public static void saveToDataFile(String source,
 NeuralNetwork network)

loadFromFile

public static NeuralNetwork loadFromFile(String source)

loadFromDataFile

public static NeuralNetwork loadFromDataFile(String source)

getLayerCount

public int getLayerCount()

getLayers

public NeuronLayer[] getLayers()

getLayer

public NeuronLayer getLayer(int i)

getLearningRate

public double getLearningRate()

setLearningRate

public void setLearningRate(double pLearningRate)

getOutput

public MLMatrix getOutput()

predict

public MLMatrix predict(double[] inputs)

predict

public MLMatrix predict(double[][] inputs)

predict

public MLMatrix predict(MLMatrix inputs)

learn

public void learn(double[][] expected)

learn

public void learn(MLMatrix expected)

train

public void train(double[][] inputs,
 double[][] expected,
 int iterations)