NumA::NeuralNetworkTypeRegistry Class Reference

Public Member Functions
virtual	~NeuralNetworkTypeRegistry ()
unsigned int	registerActivationFunction (const ActivationFunctionType::Type type, ActivationFunction *const object)
unsigned int	registerCombinationFunction (const CombinationFunctionType::Type type, CombinationFunction *const object)
unsigned int	registerScalingFunction (const ScalingFunctionType::Type type, ScalingFunction *const object)
unsigned int	registerTrainingFunction (const TrainingFunctionType::Type type, TrainingFunction *const object)
ActivationFunction *	getActivationFunction (const ActivationFunctionType::Type type) const
CombinationFunction *	getCombinationFunction (const CombinationFunctionType::Type type) const
ScalingFunction *	getScalingFunction (const ScalingFunctionType::Type type) const
TrainingFunction *	getTrainingFunction (const TrainingFunctionType::Type type) const

Static Public Member Functions
static NeuralNetworkTypeRegistry *	getInstance ()

Private Member Functions
	NeuralNetworkTypeRegistry ()

Private Attributes
std::map< ActivationFunctionType::Type, ActivationFunction * >	m_activationFunctions
std::map< CombinationFunctionType::Type, CombinationFunction * >	m_combinationFunctions
std::map< ScalingFunctionType::Type, ScalingFunction * >	m_scalingFunctions
std::map< TrainingFunctionType::Type, TrainingFunction * >	m_trainingFunctions

Static Private Attributes
static NeuralNetworkTypeRegistry *	p_instance = 0

Constructor & Destructor Documentation

~NeuralNetworkTypeRegistry()

NumA::NeuralNetworkTypeRegistry::~NeuralNetworkTypeRegistry ( )

virtual

NeuralNetworkTypeRegistry()

NumA::NeuralNetworkTypeRegistry::NeuralNetworkTypeRegistry ( )

private

Member Function Documentation

getActivationFunction()

ActivationFunction * NumA::NeuralNetworkTypeRegistry::getActivationFunction

(

const ActivationFunctionType::Type

type

)

const

getCombinationFunction()

CombinationFunction * NumA::NeuralNetworkTypeRegistry::getCombinationFunction

(

const CombinationFunctionType::Type

type

)

const

getInstance()

NeuralNetworkTypeRegistry * NumA::NeuralNetworkTypeRegistry::getInstance ( )

static

getScalingFunction()

ScalingFunction * NumA::NeuralNetworkTypeRegistry::getScalingFunction

(

const ScalingFunctionType::Type

type

)

const

getTrainingFunction()

TrainingFunction * NumA::NeuralNetworkTypeRegistry::getTrainingFunction

(

const TrainingFunctionType::Type

type

)

const

registerActivationFunction()

unsigned int NumA::NeuralNetworkTypeRegistry::registerActivationFunction	(	const ActivationFunctionType::Type	type,
		ActivationFunction *const	object
	)

registerCombinationFunction()

unsigned int NumA::NeuralNetworkTypeRegistry::registerCombinationFunction	(	const CombinationFunctionType::Type	type,
		CombinationFunction *const	object
	)

registerScalingFunction()

unsigned int NumA::NeuralNetworkTypeRegistry::registerScalingFunction	(	const ScalingFunctionType::Type	type,
		ScalingFunction *const	object
	)

registerTrainingFunction()

unsigned int NumA::NeuralNetworkTypeRegistry::registerTrainingFunction	(	const TrainingFunctionType::Type	type,
		TrainingFunction *const	object
	)

Member Data Documentation

m_activationFunctions

std::map<ActivationFunctionType::Type, ActivationFunction*> NumA::NeuralNetworkTypeRegistry::m_activationFunctions

private

m_combinationFunctions

std::map<CombinationFunctionType::Type, CombinationFunction*> NumA::NeuralNetworkTypeRegistry::m_combinationFunctions

private

m_scalingFunctions

std::map<ScalingFunctionType::Type, ScalingFunction*> NumA::NeuralNetworkTypeRegistry::m_scalingFunctions

private

m_trainingFunctions

std::map<TrainingFunctionType::Type, TrainingFunction*> NumA::NeuralNetworkTypeRegistry::m_trainingFunctions

private

p_instance

NeuralNetworkTypeRegistry * NumA::NeuralNetworkTypeRegistry::p_instance = 0

staticprivate

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

• include/NumA/neural_network/NeuralNetworkTypeRegistry.h
• src/NumA/neural_network/NeuralNetworkTypeRegistry.cpp