NumA::NeuralNetwork Class Reference

Public Member Functions
	NeuralNetwork ()
	NeuralNetwork (unsigned int nIn, unsigned int nOut, const std::vector< unsigned int > &perceptronLayers, ActivationFunctionType::Type hiddenActivationFunctionType, CombinationFunctionType::Type hiddenCombinationFunctionType, ActivationFunctionType::Type outputActivationFunctionType, CombinationFunctionType::Type outputCombinationFunctionType, ScalingFunctionType::Type scalingFunctionType)
	NeuralNetwork (const NeuralNetwork &other)
virtual	~NeuralNetwork ()
virtual NeuralNetwork *	clone () const
virtual std::string	toString () const
Data	evaluate (const Data &input) const
Data	evaluateForOnePoint (const Data &input, unsigned int iPoint) const
void	setScalingParameters (const Data &input, const Data &output) const
void	train (const Data &input, const Data &output, TrainingAlgorithmType::Type trainingAlgorithmType, TrainingFunctionType::Type trainingFunctionType, const std::vector< double > &parameters)
const std::vector< NeuralNetworkCell * > &	getNeuralNetworkCells () const
const std::vector< NeuralNetworkLayer * > &	getNeuralNetworkLayers () const
const std::vector< NeuralNetworkNeuron * > &	getNeuralNetworkNeurons () const
unsigned int	getNIn () const
unsigned int	getNOut () const

Private Member Functions
void	connectLayersOneToOne (NeuralNetworkLayer *const layerIn, NeuralNetworkLayer *const layerOut, bool fixNeurons)
void	connectLayersPermutive (NeuralNetworkLayer *const layerIn, NeuralNetworkLayer *const layerOut, bool fixNeurons)
void	connectTwoCellsByNeuron (NeuralNetworkCell *const cell1, NeuralNetworkCell *const cell2, bool fixNeuron)
void	checkConsistency () const

Private Attributes
unsigned int	m_nIn
unsigned int	m_nOut
std::vector< NeuralNetworkCell * >	m_neuralNetworkCells
std::vector< NeuralNetworkNeuron * >	m_neuralNetworkNeurons
std::vector< NeuralNetworkLayer * >	m_neuralNetworkLayers

Constructor & Destructor Documentation

NeuralNetwork() [1/3]

NumA::NeuralNetwork::NeuralNetwork

(

)

NeuralNetwork() [2/3]

NumA::NeuralNetwork::NeuralNetwork	(	unsigned int	nIn,
		unsigned int	nOut,
		const std::vector< unsigned int > &	perceptronLayers,
		ActivationFunctionType::Type	hiddenActivationFunctionType,
		CombinationFunctionType::Type	hiddenCombinationFunctionType,
		ActivationFunctionType::Type	outputActivationFunctionType,
		CombinationFunctionType::Type	outputCombinationFunctionType,
		ScalingFunctionType::Type	scalingFunctionType
	)

NeuralNetwork() [3/3]

NumA::NeuralNetwork::NeuralNetwork

(

const NeuralNetwork &

other

)

~NeuralNetwork()

NumA::NeuralNetwork::~NeuralNetwork ( )

virtual

Member Function Documentation

checkConsistency()

void NumA::NeuralNetwork::checkConsistency ( ) const

private

clone()

NeuralNetwork * NumA::NeuralNetwork::clone ( ) const

virtual

connectLayersOneToOne()

void NumA::NeuralNetwork::connectLayersOneToOne ( NeuralNetworkLayer *const  layerIn, NeuralNetworkLayer *const  layerOut, bool  fixNeurons  )

private

connectLayersPermutive()

void NumA::NeuralNetwork::connectLayersPermutive ( NeuralNetworkLayer *const  layerIn, NeuralNetworkLayer *const  layerOut, bool  fixNeurons  )

private

connectTwoCellsByNeuron()

void NumA::NeuralNetwork::connectTwoCellsByNeuron ( NeuralNetworkCell *const  cell1, NeuralNetworkCell *const  cell2, bool  fixNeuron  )

private

evaluate()

Data NumA::NeuralNetwork::evaluate

(

const Data &

input

)

const

evaluateForOnePoint()

Data NumA::NeuralNetwork::evaluateForOnePoint	(	const Data &	input,
		unsigned int	iPoint
	)		const

getNeuralNetworkCells()

const std::vector< NeuralNetworkCell * > & NumA::NeuralNetwork::getNeuralNetworkCells

(

)

const

getNeuralNetworkLayers()

const std::vector< NeuralNetworkLayer * > & NumA::NeuralNetwork::getNeuralNetworkLayers

(

)

const

getNeuralNetworkNeurons()

const std::vector< NeuralNetworkNeuron * > & NumA::NeuralNetwork::getNeuralNetworkNeurons

(

)

const

getNIn()

unsigned int NumA::NeuralNetwork::getNIn

(

)

const

getNOut()

unsigned int NumA::NeuralNetwork::getNOut

(

)

const

setScalingParameters()

void NumA::NeuralNetwork::setScalingParameters	(	const Data &	input,
		const Data &	output
	)		const

toString()

std::string NumA::NeuralNetwork::toString ( ) const

virtual

train()

void NumA::NeuralNetwork::train	(	const Data &	input,
		const Data &	output,
		TrainingAlgorithmType::Type	trainingAlgorithmType,
		TrainingFunctionType::Type	trainingFunctionType,
		const std::vector< double > &	parameters
	)

Member Data Documentation

m_neuralNetworkCells

std::vector<NeuralNetworkCell*> NumA::NeuralNetwork::m_neuralNetworkCells

private

m_neuralNetworkLayers

std::vector<NeuralNetworkLayer*> NumA::NeuralNetwork::m_neuralNetworkLayers

private

m_neuralNetworkNeurons

std::vector<NeuralNetworkNeuron*> NumA::NeuralNetwork::m_neuralNetworkNeurons

private

m_nIn

unsigned int NumA::NeuralNetwork::m_nIn

private

m_nOut

unsigned int NumA::NeuralNetwork::m_nOut

private

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

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