itk::Statistics::RBFNetwork< TVector, TOutput > Class Template Reference

#include <itkRBFNetwork.h>

Inheritance diagram for itk::Statistics::RBFNetwork< TVector, TOutput >:

[legend]Collaboration diagram for itk::Statistics::RBFNetwork< TVector, TOutput >:

[legend]List of all members.

Public Types
typedef RBFNetwork	Self
typedef MultilayerNeuralNetworkBase< TVector, TOutput >	Superclass
typedef SmartPointer< Self >	Pointer
typedef SmartPointer< const Self >	ConstPointer
typedef Superclass::ValueType	ValueType
typedef Array< ValueType >	ArrayType
typedef TransferFunctionBase< ValueType >	TransferFunctionType
typedef RadialBasisFunctionBase< ValueType >	RBFType
typedef InputFunctionBase< ValueType *, ValueType >	InputFunctionType
typedef EuclideanDistance< TVector >	DistanceMetricType
Public Member Functions
virtual const char *	GetNameOfClass () const
void	Initialize ()
virtual void	SetNumOfInputNodes (int _arg)
virtual const int &	GetNumOfInputNodes ()
virtual void	SetNumOfHiddenNodes (int _arg)
virtual const int &	GetNumOfHiddenNodes ()
virtual void	SetNumOfOutputNodes (int _arg)
virtual const int &	GetNumOfOutputNodes ()
virtual void	SetHiddenLayerBias (ValueType _arg)
virtual const ValueType &	GetHiddenLayerBias ()
virtual void	SetOutputLayerBias (ValueType _arg)
virtual const ValueType &	GetOutputLayerBias ()
virtual void	SetClasses (int _arg)
virtual const int &	GetClasses ()
ValueType *	GenerateOutput (TVector samplevector)
void	SetInputTransferFunction (TransferFunctionType *f)
void	SetDistanceMetric (DistanceMetricType *f)
void	SetHiddenTransferFunction (TransferFunctionType *f)
void	SetOutputTransferFunction (TransferFunctionType *f)
void	SetInputFunction (InputFunctionType *f)
void	InitializeWeights ()
Static Public Member Functions
Pointer	New ()
Public Attributes
InputFunctionType::Pointer	InputFunction
DistanceMetricType::Pointer	DistanceMetric
TransferFunctionType::Pointer	InputTransferFunction
RBFType::Pointer	HiddenTransferFunction
TransferFunctionType::Pointer	OutputTransferFunction
Protected Member Functions
	RBFNetwork ()
	~RBFNetwork ()
virtual void	PrintSelf (std::ostream &os, Indent indent) const

template<class TVector, class TOutput>
class itk::Statistics::RBFNetwork< TVector, TOutput >

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Member Typedef Documentation

template<class TVector, class TOutput> typedef Array<ValueType> itk::Statistics::RBFNetwork< TVector, TOutput >::ArrayType

Definition at line 51 of file itkRBFNetwork.h.

template<class TVector, class TOutput> typedef SmartPointer<const Self> itk::Statistics::RBFNetwork< TVector, TOutput >::ConstPointer

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >. Definition at line 49 of file itkRBFNetwork.h.

template<class TVector, class TOutput> typedef EuclideanDistance<TVector> itk::Statistics::RBFNetwork< TVector, TOutput >::DistanceMetricType

Definition at line 56 of file itkRBFNetwork.h.

template<class TVector, class TOutput> typedef InputFunctionBase<ValueType*, ValueType> itk::Statistics::RBFNetwork< TVector, TOutput >::InputFunctionType

Definition at line 55 of file itkRBFNetwork.h.

template<class TVector, class TOutput> typedef SmartPointer<Self> itk::Statistics::RBFNetwork< TVector, TOutput >::Pointer

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >. Definition at line 48 of file itkRBFNetwork.h.

template<class TVector, class TOutput> typedef RadialBasisFunctionBase<ValueType> itk::Statistics::RBFNetwork< TVector, TOutput >::RBFType

Definition at line 54 of file itkRBFNetwork.h.

template<class TVector, class TOutput> typedef RBFNetwork itk::Statistics::RBFNetwork< TVector, TOutput >::Self

Standard class typedefs. Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >. Definition at line 46 of file itkRBFNetwork.h.

template<class TVector, class TOutput> typedef MultilayerNeuralNetworkBase<TVector, TOutput> itk::Statistics::RBFNetwork< TVector, TOutput >::Superclass

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >. Definition at line 47 of file itkRBFNetwork.h.

template<class TVector, class TOutput> typedef TransferFunctionBase<ValueType> itk::Statistics::RBFNetwork< TVector, TOutput >::TransferFunctionType

Definition at line 53 of file itkRBFNetwork.h.

template<class TVector, class TOutput> typedef Superclass::ValueType itk::Statistics::RBFNetwork< TVector, TOutput >::ValueType

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >. Definition at line 50 of file itkRBFNetwork.h.

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Constructor & Destructor Documentation

template<class TVector, class TOutput> itk::Statistics::RBFNetwork< TVector, TOutput >::RBFNetwork (   )  [protected]

template<class TVector, class TOutput> itk::Statistics::RBFNetwork< TVector, TOutput >::~RBFNetwork (   )  [inline, protected]

Definition at line 105 of file itkRBFNetwork.h.

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Member Function Documentation

template<class TVector, class TOutput> ValueType* itk::Statistics::RBFNetwork< TVector, TOutput >::GenerateOutput (  TVector  samplevector  )  [virtual]

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >.

template<class TVector, class TOutput> virtual const int& itk::Statistics::RBFNetwork< TVector, TOutput >::GetClasses (   )  [virtual]

template<class TVector, class TOutput> virtual const ValueType& itk::Statistics::RBFNetwork< TVector, TOutput >::GetHiddenLayerBias (   )  [virtual]

template<class TVector, class TOutput> virtual const char* itk::Statistics::RBFNetwork< TVector, TOutput >::GetNameOfClass (   )  const [virtual]

Run-time type information (and related methods). Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >.

template<class TVector, class TOutput> virtual const int& itk::Statistics::RBFNetwork< TVector, TOutput >::GetNumOfHiddenNodes (   )  [virtual]

template<class TVector, class TOutput> virtual const int& itk::Statistics::RBFNetwork< TVector, TOutput >::GetNumOfInputNodes (   )  [virtual]

template<class TVector, class TOutput> virtual const int& itk::Statistics::RBFNetwork< TVector, TOutput >::GetNumOfOutputNodes (   )  [virtual]

template<class TVector, class TOutput> virtual const ValueType& itk::Statistics::RBFNetwork< TVector, TOutput >::GetOutputLayerBias (   )  [virtual]

template<class TVector, class TOutput> void itk::Statistics::RBFNetwork< TVector, TOutput >::Initialize (   )  [virtual]

Restore the data object to its initial state. This means releasing memory. Reimplemented from itk::DataObject.

template<class TVector, class TOutput> void itk::Statistics::RBFNetwork< TVector, TOutput >::InitializeWeights (   )

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >.

template<class TVector, class TOutput> Pointer itk::Statistics::RBFNetwork< TVector, TOutput >::New (   )  [static]

New macro for creation of through a Smart Pointer. Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >.

template<class TVector, class TOutput> virtual void itk::Statistics::RBFNetwork< TVector, TOutput >::PrintSelf (  std::ostream &  os, Indent  indent )  const [protected, virtual]

Method to print the object. Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >.

template<class TVector, class TOutput> virtual void itk::Statistics::RBFNetwork< TVector, TOutput >::SetClasses (  int  _arg  )  [virtual]

template<class TVector, class TOutput> void itk::Statistics::RBFNetwork< TVector, TOutput >::SetDistanceMetric (  DistanceMetricType *  f  )

template<class TVector, class TOutput> virtual void itk::Statistics::RBFNetwork< TVector, TOutput >::SetHiddenLayerBias (  ValueType  _arg  )  [virtual]

template<class TVector, class TOutput> void itk::Statistics::RBFNetwork< TVector, TOutput >::SetHiddenTransferFunction (  TransferFunctionType *  f  )

template<class TVector, class TOutput> void itk::Statistics::RBFNetwork< TVector, TOutput >::SetInputFunction (  InputFunctionType *  f  )

template<class TVector, class TOutput> void itk::Statistics::RBFNetwork< TVector, TOutput >::SetInputTransferFunction (  TransferFunctionType *  f  )

template<class TVector, class TOutput> virtual void itk::Statistics::RBFNetwork< TVector, TOutput >::SetNumOfHiddenNodes (  int  _arg  )  [virtual]

template<class TVector, class TOutput> virtual void itk::Statistics::RBFNetwork< TVector, TOutput >::SetNumOfInputNodes (  int  _arg  )  [virtual]

template<class TVector, class TOutput> virtual void itk::Statistics::RBFNetwork< TVector, TOutput >::SetNumOfOutputNodes (  int  _arg  )  [virtual]

template<class TVector, class TOutput> virtual void itk::Statistics::RBFNetwork< TVector, TOutput >::SetOutputLayerBias (  ValueType  _arg  )  [virtual]

template<class TVector, class TOutput> void itk::Statistics::RBFNetwork< TVector, TOutput >::SetOutputTransferFunction (  TransferFunctionType *  f  )

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Member Data Documentation

template<class TVector, class TOutput> DistanceMetricType::Pointer itk::Statistics::RBFNetwork< TVector, TOutput >::DistanceMetric

Definition at line 59 of file itkRBFNetwork.h.

template<class TVector, class TOutput> RBFType::Pointer itk::Statistics::RBFNetwork< TVector, TOutput >::HiddenTransferFunction

Definition at line 62 of file itkRBFNetwork.h.

template<class TVector, class TOutput> InputFunctionType::Pointer itk::Statistics::RBFNetwork< TVector, TOutput >::InputFunction

Definition at line 58 of file itkRBFNetwork.h.

template<class TVector, class TOutput> TransferFunctionType::Pointer itk::Statistics::RBFNetwork< TVector, TOutput >::InputTransferFunction

Definition at line 61 of file itkRBFNetwork.h.

template<class TVector, class TOutput> TransferFunctionType::Pointer itk::Statistics::RBFNetwork< TVector, TOutput >::OutputTransferFunction

Definition at line 63 of file itkRBFNetwork.h.

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

• itkRBFNetwork.h

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