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.

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

Public Types
typedef Array< ValueType >	ArrayType
typedef SmartPointer< const Self >	ConstPointer
typedef EuclideanDistance< ArrayType >	DistanceMetricType
typedef InputFunctionBase< ValueType *, ValueType >	InputFunctionType
typedef Superclass::LayerPointer	LayerPointer
typedef Superclass::LayerType	LayerType
typedef std::vector< LayerPointer >	LayerVectorType
typedef Superclass::LearningFunctionPointer	LearningFunctionPointer
typedef Superclass::LearningFunctionType	LearningFunctionType
typedef Superclass::NetworkOutputType	NetworkOutputType
typedef SmartPointer< Self >	Pointer
typedef RadialBasisFunctionBase< ValueType >	RBFType
typedef RBFNetwork	Self
typedef MultilayerNeuralNetworkBase< TVector, TOutput >	Superclass
typedef TOutput	TargetVectorType
typedef TransferFunctionBase< ValueType >	TransferFunctionType
typedef Superclass::ValueType	ValueType
typedef Superclass::WeightSetPointer	WeightSetPointer
typedef Superclass::WeightSetType	WeightSetType
typedef std::vector< WeightSetPointer >	WeightVectorType
Public Member Functions
void	AddLayer (LayerType *)
void	AddWeightSet (WeightSetType *)
virtual void	BackwardPropagate (NetworkOutputType errors)
virtual NetworkOutputType	GenerateOutput (TVector samplevector)
virtual const int &	GetClasses ()
virtual const ValueType &	GetHiddenLayerBias ()
LayerType *	GetLayer (int layer_id)
virtual const char *	GetNameOfClass () const
virtual const int &	GetNumOfHiddenNodes ()
virtual const int &	GetNumOfInputNodes ()
virtual const int &	GetNumOfLayers ()
virtual const int &	GetNumOfOutputNodes ()
virtual const int &	GetNumOfWeightSets ()
virtual const ValueType &	GetOutputLayerBias ()
WeightSetType *	GetWeightSet (int id)
void	Initialize ()
void	InitializeWeights ()
void	SetCenter (TVector c)
virtual void	SetClasses (int _arg)
void	SetDistanceMetric (DistanceMetricType *f)
virtual void	SetHiddenLayerBias (ValueType _arg)
void	SetHiddenTransferFunction (TransferFunctionType *f)
void	SetInputFunction (InputFunctionType *f)
void	SetInputTransferFunction (TransferFunctionType *f)
void	SetLearningFunction (LearningFunctionType *f)
void	SetLearningRate (ValueType learningrate)
void	SetLearningRule (LearningFunctionType *)
virtual void	SetNumOfHiddenNodes (int _arg)
virtual void	SetNumOfInputNodes (int _arg)
virtual void	SetNumOfLayers (int _arg)
virtual void	SetNumOfOutputNodes (int _arg)
virtual void	SetNumOfWeightSets (int _arg)
virtual void	SetOutputLayerBias (ValueType _arg)
void	SetOutputTransferFunction (TransferFunctionType *f)
void	SetRadius (ValueType r)
virtual void	UpdateWeights (ValueType)
Static Public Member Functions
static Pointer	New ()
Public Attributes
DistanceMetricType::Pointer	DistanceMetric
RBFType::Pointer	HiddenTransferFunction
InputFunctionType::Pointer	InputFunction
TransferFunctionType::Pointer	InputTransferFunction
TransferFunctionType::Pointer	OutputTransferFunction
Protected Member Functions
virtual void	PrintSelf (std::ostream &os, Indent indent) const
	RBFNetwork ()
	~RBFNetwork ()
Protected Attributes
LayerVectorType	m_Layers
LearningFunctionPointer	m_LearningFunction
ValueType	m_LearningRate
int	m_NumOfLayers
int	m_NumOfWeightSets
WeightVectorType	m_Weights

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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<ArrayType> itk::Statistics::RBFNetwork< TVector, TOutput >::DistanceMetricType

Definition at line 55 of file itkRBFNetwork.h.

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

Definition at line 54 of file itkRBFNetwork.h.

template<class TVector, class TOutput> typedef Superclass::LayerPointer itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::LayerPointer [inherited]

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

template<class TVector, class TOutput> typedef Superclass::LayerType itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::LayerType [inherited]

Reimplemented from itk::Statistics::NeuralNetworkObject< TVector, TOutput >. Reimplemented in itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TVector, TOutput >. Definition at line 46 of file itkMultilayerNeuralNetworkBase.h.

template<class TVector, class TOutput> typedef std::vector<LayerPointer> itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::LayerVectorType [inherited]

Definition at line 54 of file itkMultilayerNeuralNetworkBase.h.

template<class TVector, class TOutput> typedef Superclass::LearningFunctionPointer itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::LearningFunctionPointer [inherited]

Reimplemented from itk::Statistics::NeuralNetworkObject< TVector, TOutput >. Definition at line 51 of file itkMultilayerNeuralNetworkBase.h.

template<class TVector, class TOutput> typedef Superclass::LearningFunctionType itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::LearningFunctionType [inherited]

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

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

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >. Definition at line 64 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 53 of file itkRBFNetwork.h.

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

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 TOutput itk::Statistics::NeuralNetworkObject< TVector, TOutput >::TargetVectorType [inherited]

Definition at line 42 of file itkNeuralNetworkObject.h.

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

Definition at line 52 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.

template<class TVector, class TOutput> typedef Superclass::WeightSetPointer itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::WeightSetPointer [inherited]

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

template<class TVector, class TOutput> typedef Superclass::WeightSetType itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::WeightSetType [inherited]

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

template<class TVector, class TOutput> typedef std::vector<WeightSetPointer> itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::WeightVectorType [inherited]

Definition at line 53 of file itkMultilayerNeuralNetworkBase.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 110 of file itkRBFNetwork.h.

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Member Function Documentation

template<class TVector, class TOutput> void itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::AddLayer (  LayerType *   )  [inherited]

template<class TVector, class TOutput> void itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::AddWeightSet (  WeightSetType *   )  [inherited]

template<class TVector, class TOutput> virtual void itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::BackwardPropagate (  NetworkOutputType  errors  )  [virtual, inherited]

Implements itk::Statistics::NeuralNetworkObject< TVector, TOutput >.

template<class TVector, class TOutput> virtual NetworkOutputType 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> LayerType* itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::GetLayer (  int  layer_id  )  [inherited]

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

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::MultilayerNeuralNetworkBase< TVector, TOutput >::GetNumOfLayers (   )  [virtual, inherited]

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

template<class TVector, class TOutput> virtual const int& itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::GetNumOfWeightSets (   )  [virtual, inherited]

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

template<class TVector, class TOutput> WeightSetType* itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::GetWeightSet (  int  id  )  [inherited]

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

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

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

template<class TVector, class TOutput> static 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> void itk::Statistics::RBFNetwork< TVector, TOutput >::SetCenter (  TVector  c  )

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> void itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::SetLearningFunction (  LearningFunctionType *  f  )  [inherited]

template<class TVector, class TOutput> void itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::SetLearningRate (  ValueType  learningrate  )  [inherited]

template<class TVector, class TOutput> void itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::SetLearningRule (  LearningFunctionType *   )  [inherited]

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::MultilayerNeuralNetworkBase< TVector, TOutput >::SetNumOfLayers (  int  _arg  )  [virtual, inherited]

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::MultilayerNeuralNetworkBase< TVector, TOutput >::SetNumOfWeightSets (  int  _arg  )  [virtual, inherited]

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  )

template<class TVector, class TOutput> void itk::Statistics::RBFNetwork< TVector, TOutput >::SetRadius (  ValueType  r  )

template<class TVector, class TOutput> virtual void itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::UpdateWeights (  ValueType   )  [virtual, inherited]

Implements itk::Statistics::NeuralNetworkObject< TVector, TOutput >.

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Member Data Documentation

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

Definition at line 58 of file itkRBFNetwork.h.

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

Definition at line 61 of file itkRBFNetwork.h.

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

Definition at line 57 of file itkRBFNetwork.h.

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

Definition at line 60 of file itkRBFNetwork.h.

template<class TVector, class TOutput> LayerVectorType itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::m_Layers [protected, inherited]

Definition at line 88 of file itkMultilayerNeuralNetworkBase.h.

template<class TVector, class TOutput> LearningFunctionPointer itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::m_LearningFunction [protected, inherited]

Definition at line 90 of file itkMultilayerNeuralNetworkBase.h.

template<class TVector, class TOutput> ValueType itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::m_LearningRate [protected, inherited]

Reimplemented from itk::Statistics::NeuralNetworkObject< TVector, TOutput >. Definition at line 91 of file itkMultilayerNeuralNetworkBase.h.

template<class TVector, class TOutput> int itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::m_NumOfLayers [protected, inherited]

Definition at line 92 of file itkMultilayerNeuralNetworkBase.h.

template<class TVector, class TOutput> int itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::m_NumOfWeightSets [protected, inherited]

Definition at line 93 of file itkMultilayerNeuralNetworkBase.h.

template<class TVector, class TOutput> WeightVectorType itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::m_Weights [protected, inherited]

Definition at line 89 of file itkMultilayerNeuralNetworkBase.h.

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

Definition at line 62 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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