#include <itkRBFNetwork.h>

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

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

Detailed Description

template<class TMeasurementVector, class TTargetVector>
class itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >

This is the itkRBFNetwork class.

Definition at line 47 of file itkRBFNetwork.h.

Public Types
typedef Array< ValueType >	ArrayType

typedef SmartPointer< const Self >	ConstPointer

typedef EuclideanDistanceMetric < ArrayType >	DistanceMetricType

typedef RBFLayer < TMeasurementVector, TTargetVector >	HiddenLayerType

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 RadialBasisFunctionBase < ValueType >	RBFTransferFunctionType

typedef RBFNetwork	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 Types inherited from itk::DataObject
typedef SmartPointer< const Self >	ConstPointer

typedef std::string	DataObjectIdentifierType

typedef std::vector< Pointer > ::size_type	DataObjectPointerArraySizeType

typedef SmartPointer< Self >	Pointer

typedef DataObject	Self

typedef Object	Superclass

Public Types inherited from itk::Object
typedef SmartPointer< const Self >	ConstPointer

typedef SmartPointer< Self >	Pointer

typedef Object	Self

typedef LightObject	Superclass

Public Types inherited from itk::LightObject
typedef SmartPointer< const Self >	ConstPointer

typedef SmartPointer< Self >	Pointer

typedef LightObject	Self

Public Member Functions
virtual NetworkOutputType	GenerateOutput (TMeasurementVector samplevector)

virtual const unsigned int &	GetClasses ()

virtual const ValueType &	GetFirstHiddenLayerBias ()

virtual const unsigned int &	GetNumOfFirstHiddenNodes ()

virtual const unsigned int &	GetNumOfInputNodes ()

virtual const unsigned int &	GetNumOfOutputNodes ()

virtual const ValueType &	GetOutputLayerBias ()

void	Initialize ()

void	InitializeWeights ()

void	SetCenter (TMeasurementVector c)

virtual void	SetClasses (unsigned int _arg)

void	SetDistanceMetric (DistanceMetricType *f)

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	SetOutputLayerBias (ValueType _arg)

void	SetOutputTransferFunction (TransferFunctionInterfaceType *f)

void	SetRadius (ValueType r)

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)

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

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

	RBFNetwork ()

virtual	~RBFNetwork ()

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 ()

Protected Member Functions inherited from itk::DataObject
	DataObject ()

virtual void	PropagateResetPipeline ()

	~DataObject ()

Protected Member Functions inherited from itk::Object
	Object ()

bool	PrintObservers (std::ostream &os, Indent indent) const

virtual void	SetTimeStamp (const TimeStamp &time)

virtual	~Object ()

Protected Member Functions inherited from itk::LightObject
virtual LightObject::Pointer	InternalClone () const

	LightObject ()

virtual void	PrintHeader (std::ostream &os, Indent indent) const

virtual void	PrintTrailer (std::ostream &os, Indent indent) const

virtual	~LightObject ()

Private Attributes
std::vector< TMeasurementVector >	m_Centers

unsigned int	m_Classes

DistanceMetricType::Pointer	m_DistanceMetric

ValueType	m_FirstHiddenLayerBias

RBFTransferFunctionType::Pointer	m_FirstHiddenTransferFunction

InputFunctionInterfaceType::Pointer	m_InputFunction

TransferFunctionInterfaceType::Pointer	m_InputTransferFunction

unsigned int	m_NumOfFirstHiddenNodes

unsigned int	m_NumOfInputNodes

unsigned int	m_NumOfOutputNodes

ValueType	m_OutputLayerBias

TransferFunctionInterfaceType::Pointer	m_OutputTransferFunction

std::vector< double >	m_Radii

virtual const char *	GetNameOfClass () const

virtual ::itk::LightObject::Pointer	CreateAnother (void) 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 Types inherited from itk::LightObject
typedef int	InternalReferenceCountType

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