Public Member Functions
	BatchBackPropagationAlgorithm (NeuralNet &theNetwork, const double learningRate=0.5, const double momentumConstant=0.5)

void	setLearningRate (const double newLearningRate)

void	setMomentumConstant (const double newMomentumConstant)

void	setMaxErrorIncrease (const double maxIncrease)

double	train (const int numberOfEpochs, const NeuralNetDataSet &dataSet, const NeuralNet::InputNormalisationSelect normaliseTrainingData=NeuralNet::PassthroughNormalised)

double	train (const int numberOfEpochs, const NeuralNetDataSet &dataSet, const std::vector< InputNormaliser * > &inputNormalisers)

void	setProgressPrintoutFrequency (const int frequency)

void	setEpochsToWaitBeforeRestore (const int epochs)

std::vector< double >	getTrainingErrorValuesPerEpoch () const

Protected Member Functions
double	trainWithDataSet (const int numberOfEpochs)

std::vector< double >	layerOutput (const int layer) const

void	calculateLayerOutputs ()

void	calculateDerivativeOutputs ()

void	calculateErrorSignals ()

void	calculateRunningGradientTotal ()

void	calculateDeltaWeights ()

double	error ()

double	newEpoch ()

double	processDataSet ()

Detailed Description

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

Public Member Functions