NeuralNetwork Class Reference

Public Member Functions
	NeuralNetwork (DataSet trainSet, int hiddenNodeCount, double learningRate, int maxEpoch, double[][] hiddenWeights, double[][] outputWeights)
void	train ()
void	train (DataSet set)
double	classifyInstance (Instance inst)
void	resetWeights (double[][] hiddenWeights, double[][] outputWeights)

Detailed Description

Neural Network class

Constructor & Destructor Documentation

NeuralNetwork.NeuralNetwork ( DataSet  trainSet, int  hiddenNodeCount, double  learningRate, int  maxEpoch, double  hiddenWeights[][], double  outputWeights[][]  )

inline

Constructor

Parameters

trainSet	training data set
hiddenNodeCount	number of hidden node to use
learningRate	user-defined learning rate
maxEpoch	maximum epoch
hiddenWeights
outputWeights

Member Function Documentation

double NeuralNetwork.classifyInstance ( Instance  inst )

inline

Classify instance.

Parameters

inst

instance

Returns

the sigmoid value of the output

void NeuralNetwork.resetWeights ( double  hiddenWeights[][], double  outputWeights[][]  )

inline

Reset the weights according to given weight matrix

Parameters

hiddenWeights	Two-Dimensional input to hidden node weights
outputWeights	Two-Dimensional hidden to output node weights

void NeuralNetwork.train ( )

inline

train the neual network with initializing data set

void NeuralNetwork.train ( DataSet  set )

inline

train the neual network using the given data set

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The documentation for this class was generated from the following file:

• NeuralNetwork.java