#include <itkTwoHiddenLayerBackPropagationNeuralNetwork.h>

Inheritance diagram for itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >:

Collaboration diagram for itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >:

Detailed Description

template<typename TMeasurementVector, typename TTargetVector>
class itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >

This is the itkTwoHiddenLayerBackPropagationNeuralNetwork class.

Definition at line 44 of file itkTwoHiddenLayerBackPropagationNeuralNetwork.h.

Public Types
typedef SmartPointer< const Self >	ConstPointer

typedef Superclass::InputFunctionInterfaceType	InputFunctionInterfaceType

typedef Superclass::LayerInterfaceType	LayerInterfaceType

typedef Superclass::LayerVectorType	LayerVectorType

typedef Superclass::LearningLayerType	LearningLayerType

typedef Superclass::MeasurementVectorType	MeasurementVectorType

typedef Superclass::NetworkOutputType	NetworkOutputType

typedef SmartPointer< Self >	Pointer

typedef TwoHiddenLayerBackPropagationNeuralNetwork	Self

typedef MultilayerNeuralNetworkBase < TMeasurementVector, TTargetVector, BackPropagationLayer < TMeasurementVector, TTargetVector > >	Superclass

typedef Superclass::TargetVectorType	TargetVectorType

typedef Superclass::TransferFunctionInterfaceType	TransferFunctionInterfaceType

typedef Superclass::ValueType	ValueType

typedef Superclass::WeightVectorType	WeightVectorType

Public Types inherited from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >
typedef SmartPointer< const Self >	ConstPointer

typedef InputFunctionBase < ValueType *, ValueType >	InputFunctionInterfaceType

typedef Superclass::LayerInterfaceType	LayerInterfaceType

typedef std::vector< typename LayerInterfaceType::Pointer >	LayerVectorType

typedef LearningFunctionBase < typename BackPropagationLayer < TMeasurementVector, TTargetVector > ::LayerInterfaceType, TTargetVector >	LearningFunctionInterfaceType

typedef BackPropagationLayer < TMeasurementVector, TTargetVector >	LearningLayerType

typedef Superclass::MeasurementVectorType	MeasurementVectorType

typedef Superclass::NetworkOutputType	NetworkOutputType

typedef SmartPointer< Self >	Pointer

typedef MultilayerNeuralNetworkBase	Self

typedef NeuralNetworkObject < TMeasurementVector, TTargetVector >	Superclass

typedef Superclass::TargetVectorType	TargetVectorType

typedef TransferFunctionBase < ValueType >	TransferFunctionInterfaceType

typedef Superclass::ValueType	ValueType

typedef std::vector< typename LayerInterfaceType::WeightSetInterfaceType::Pointer >	WeightVectorType

Public Types inherited from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >
typedef SmartPointer< const Self >	ConstPointer

typedef LayerBase < TMeasurementVector, TTargetVector >	LayerInterfaceType

typedef TMeasurementVector	MeasurementVectorType

typedef Array< ValueType >	NetworkOutputType

typedef SmartPointer< Self >	Pointer

typedef NeuralNetworkObject	Self

typedef DataObject	Superclass

typedef TTargetVector	TargetVectorType

typedef MeasurementVectorType::ValueType	ValueType

Public Member Functions
virtual NetworkOutputType	GenerateOutput (TMeasurementVector samplevector) override

virtual const ValueType &	GetFirstHiddenLayerBias () const

virtual const unsigned int &	GetNumOfFirstHiddenNodes () const

virtual const unsigned int &	GetNumOfInputNodes () const

virtual const unsigned int &	GetNumOfOutputNodes () const

virtual const unsigned int &	GetNumOfSecondHiddenNodes () const

virtual const ValueType &	GetOutputLayerBias () const

virtual const ValueType &	GetSecondHiddenLayerBias () const

void	Initialize () override

virtual void	SetFirstHiddenLayerBias (ValueType _arg)

void	SetFirstHiddenTransferFunction (TransferFunctionInterfaceType *f)

void	SetInputFunction (InputFunctionInterfaceType *f)

void	SetInputTransferFunction (TransferFunctionInterfaceType *f)

virtual void	SetNumOfFirstHiddenNodes (unsigned int _arg)

virtual void	SetNumOfInputNodes (unsigned int _arg)

virtual void	SetNumOfOutputNodes (unsigned int _arg)

virtual void	SetNumOfSecondHiddenNodes (unsigned int _arg)

virtual void	SetOutputLayerBias (ValueType _arg)

void	SetOutputTransferFunction (TransferFunctionInterfaceType *f)

virtual void	SetSecondHiddenLayerBias (ValueType _arg)

void	SetSecondHiddenTransferFunction (TransferFunctionInterfaceType *f)

Public Member Functions inherited from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >
void	AddLayer (LayerInterfaceType *)

void	AddWeightSet (typename LayerInterfaceType::WeightSetInterfaceType *)

virtual void	BackwardPropagate (NetworkOutputType errors) override

virtual ::itk::LightObject::Pointer	CreateAnother () const

LayerInterfaceType *	GetLayer (int layer_id)

const LayerInterfaceType *	GetLayer (int layer_id) const

int	GetNumOfLayers (void) const

int	GetNumOfWeightSets (void) const

LayerInterfaceType::WeightSetInterfaceType *	GetWeightSet (unsigned int id)

void	InitializeWeights ()

void	SetLearningFunction (LearningFunctionInterfaceType *f)

void	SetLearningRate (ValueType learningrate)

void	SetLearningRule (LearningFunctionInterfaceType *)

virtual void	UpdateWeights (ValueType) override

Protected Member Functions
virtual void	PrintSelf (std::ostream &os, Indent indent) const override

	TwoHiddenLayerBackPropagationNeuralNetwork ()

virtual	~TwoHiddenLayerBackPropagationNeuralNetwork ()

Protected Member Functions inherited from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >
	MultilayerNeuralNetworkBase ()

	~MultilayerNeuralNetworkBase ()

Protected Member Functions inherited from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >
	NeuralNetworkObject ()

virtual	~NeuralNetworkObject ()

Private Attributes
ValueType	m_FirstHiddenLayerBias

TransferFunctionInterfaceType::Pointer	m_FirstHiddenTransferFunction

InputFunctionInterfaceType::Pointer	m_InputFunction

TransferFunctionInterfaceType::Pointer	m_InputTransferFunction

unsigned int	m_NumOfFirstHiddenNodes

unsigned int	m_NumOfInputNodes

unsigned int	m_NumOfOutputNodes

unsigned int	m_NumOfSecondHiddenNodes

ValueType	m_OutputLayerBias

TransferFunctionInterfaceType::Pointer	m_OutputTransferFunction

ValueType	m_SecondHiddenLayerBias

TransferFunctionInterfaceType::Pointer	m_SecondHiddenTransferFunction

virtual const char *	GetNameOfClass () const

virtual ::itk::LightObject::Pointer	CreateAnother () const

static Pointer	New ()

Additional Inherited Members
Static Public Member Functions inherited from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >
static Pointer	New ()

Protected Attributes inherited from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >
LayerVectorType	m_Layers

LearningFunctionInterfaceType::Pointer	m_LearningFunction

ValueType	m_LearningRate

WeightVectorType	m_Weights

Protected Attributes inherited from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >
ValueType	m_LearningRate