ITK  4.6.0
Insight Segmentation and Registration Toolkit
Public Types | Public Member Functions | Protected Member Functions | Private Attributes | List of all members
itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector > Class Template Reference

#include <itkRBFNetwork.h>

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

Detailed Description

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

This is the itkRBFNetwork class.

Definition at line 47 of file itkRBFNetwork.h.

Public Types

typedef Array< ValueTypeArrayType
 
typedef SmartPointer< const SelfConstPointer
 
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< SelfPointer
 
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 SelfConstPointer
 
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< SelfPointer
 
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 SelfConstPointer
 
typedef LayerBase
< TMeasurementVector,
TTargetVector > 
LayerInterfaceType
 
typedef TMeasurementVector MeasurementVectorType
 
typedef Array< ValueTypeNetworkOutputType
 
typedef SmartPointer< SelfPointer
 
typedef NeuralNetworkObject Self
 
typedef DataObject Superclass
 
typedef TTargetVector TargetVectorType
 
typedef
MeasurementVectorType::ValueType 
ValueType
 
- Public Types inherited from itk::DataObject
typedef SmartPointer< const SelfConstPointer
 
typedef std::string DataObjectIdentifierType
 
typedef std::vector< Pointer >
::size_type 
DataObjectPointerArraySizeType
 
typedef SmartPointer< SelfPointer
 
typedef DataObject Self
 
typedef Object Superclass
 
- Public Types inherited from itk::Object
typedef SmartPointer< const SelfConstPointer
 
typedef SmartPointer< SelfPointer
 
typedef Object Self
 
typedef LightObject Superclass
 
- Public Types inherited from itk::LightObject
typedef SmartPointer< const SelfConstPointer
 
typedef SmartPointer< SelfPointer
 
typedef LightObject Self
 

Public Member Functions

virtual NetworkOutputType GenerateOutput (TMeasurementVector samplevector)
 
virtual const unsigned int & GetClasses () const
 
virtual const ValueTypeGetFirstHiddenLayerBias () const
 
virtual const unsigned int & GetNumOfFirstHiddenNodes () const
 
virtual const unsigned int & GetNumOfInputNodes () const
 
virtual const unsigned int & GetNumOfOutputNodes () const
 
virtual const ValueTypeGetOutputLayerBias () const
 
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
 
LayerInterfaceTypeGetLayer (int layer_id)
 
const LayerInterfaceTypeGetLayer (int layer_id) const
 
int GetNumOfLayers (void) const
 
int GetNumOfWeightSets (void) const
 
LayerInterfaceType::WeightSetInterfaceTypeGetWeightSet (unsigned int id)
 
void InitializeWeights ()
 
void SetLearningFunction (LearningFunctionInterfaceType *f)
 
void SetLearningRate (ValueType learningrate)
 
void SetLearningRule (LearningFunctionInterfaceType *)
 
virtual void UpdateWeights (ValueType)
 
- Public Member Functions inherited from itk::DataObject
virtual void CopyInformation (const DataObject *)
 
virtual void DataHasBeenGenerated ()
 
void DisconnectPipeline ()
 
bool GetDataReleased () const
 
virtual const bool & GetReleaseDataFlag () const
 
SmartPointerForwardReference
< ProcessObject
GetSource () const
 
DataObjectPointerArraySizeType GetSourceOutputIndex () const
 
const DataObjectIdentifierTypeGetSourceOutputName () const
 
virtual ModifiedTimeType GetUpdateMTime () const
 
virtual void Graft (const DataObject *)
 
virtual void PrepareForNewData ()
 
virtual void PropagateRequestedRegion ()
 
void ReleaseData ()
 
virtual void ReleaseDataFlagOff ()
 
virtual void ReleaseDataFlagOn ()
 
virtual bool RequestedRegionIsOutsideOfTheBufferedRegion ()
 
virtual void ResetPipeline ()
 
void SetReleaseDataFlag (bool flag)
 
virtual void SetRequestedRegion (const DataObject *)
 
virtual void SetRequestedRegionToLargestPossibleRegion ()
 
bool ShouldIReleaseData () const
 
virtual void Update ()
 
virtual void UpdateOutputData ()
 
virtual void UpdateOutputInformation ()
 
virtual bool VerifyRequestedRegion ()
 
void SetPipelineMTime (ModifiedTimeType time)
 
virtual const ModifiedTimeTypeGetPipelineMTime () const
 
virtual void SetRealTimeStamp (RealTimeStamp _arg)
 
virtual const RealTimeStampGetRealTimeStamp () const
 
- Public Member Functions inherited from itk::Object
unsigned long AddObserver (const EventObject &event, Command *)
 
unsigned long AddObserver (const EventObject &event, Command *) const
 
virtual void DebugOff () const
 
virtual void DebugOn () const
 
CommandGetCommand (unsigned long tag)
 
bool GetDebug () const
 
MetaDataDictionaryGetMetaDataDictionary (void)
 
const MetaDataDictionaryGetMetaDataDictionary (void) const
 
virtual ModifiedTimeType GetMTime () const
 
virtual const TimeStampGetTimeStamp () const
 
bool HasObserver (const EventObject &event) const
 
void InvokeEvent (const EventObject &)
 
void InvokeEvent (const EventObject &) const
 
virtual void Modified () const
 
virtual void Register () const ITK_OVERRIDE
 
void RemoveAllObservers ()
 
void RemoveObserver (unsigned long tag)
 
void SetDebug (bool debugFlag) const
 
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
 
virtual void SetReferenceCount (int) ITK_OVERRIDE
 
virtual void UnRegister () const ITK_OVERRIDE
 
virtual void SetObjectName (std::string _arg)
 
virtual const std::string & GetObjectName () const
 
- Public Member Functions inherited from itk::LightObject
virtual void Delete ()
 
virtual int GetReferenceCount () const
 
 itkCloneMacro (Self)
 
void Print (std::ostream &os, Indent indent=0) const
 

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 ()
 
- Static Public Member Functions inherited from itk::DataObject
static bool GetGlobalReleaseDataFlag ()
 
static void GlobalReleaseDataFlagOff ()
 
static void GlobalReleaseDataFlagOn ()
 
static void SetGlobalReleaseDataFlag (bool val)
 
- Static Public Member Functions inherited from itk::Object
static bool GetGlobalWarningDisplay ()
 
static void GlobalWarningDisplayOff ()
 
static void GlobalWarningDisplayOn ()
 
static Pointer New ()
 
static void SetGlobalWarningDisplay (bool flag)
 
- Static Public Member Functions inherited from itk::LightObject
static void BreakOnError ()
 
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
 
- Protected Attributes inherited from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >
ValueType m_LearningRate
 
- Protected Attributes inherited from itk::LightObject
InternalReferenceCountType m_ReferenceCount
 
SimpleFastMutexLock m_ReferenceCountLock
 

Member Typedef Documentation

template<typename TMeasurementVector , typename TTargetVector >
typedef Array<ValueType> itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::ArrayType

Definition at line 72 of file itkRBFNetwork.h.

template<typename TMeasurementVector , typename TTargetVector >
typedef SmartPointer<const Self> itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::ConstPointer

Definition at line 55 of file itkRBFNetwork.h.

template<typename TMeasurementVector , typename TTargetVector >
typedef EuclideanDistanceMetric<ArrayType> itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::DistanceMetricType

Definition at line 73 of file itkRBFNetwork.h.

template<typename TMeasurementVector , typename TTargetVector >
typedef RBFLayer<TMeasurementVector, TTargetVector> itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::HiddenLayerType

Definition at line 75 of file itkRBFNetwork.h.

template<typename TMeasurementVector , typename TTargetVector >
typedef Superclass::InputFunctionInterfaceType itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::InputFunctionInterfaceType

Definition at line 69 of file itkRBFNetwork.h.

template<typename TMeasurementVector , typename TTargetVector >
typedef Superclass::LayerInterfaceType itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::LayerInterfaceType

Definition at line 62 of file itkRBFNetwork.h.

template<typename TMeasurementVector , typename TTargetVector >
typedef Superclass::LayerVectorType itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::LayerVectorType

Definition at line 66 of file itkRBFNetwork.h.

template<typename TMeasurementVector , typename TTargetVector >
typedef Superclass::LearningLayerType itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::LearningLayerType

Definition at line 63 of file itkRBFNetwork.h.

template<typename TMeasurementVector , typename TTargetVector >
typedef Superclass::MeasurementVectorType itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::MeasurementVectorType

Definition at line 58 of file itkRBFNetwork.h.

template<typename TMeasurementVector , typename TTargetVector >
typedef Superclass::NetworkOutputType itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::NetworkOutputType

Definition at line 60 of file itkRBFNetwork.h.

template<typename TMeasurementVector , typename TTargetVector >
typedef SmartPointer<Self> itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::Pointer

Definition at line 54 of file itkRBFNetwork.h.

template<typename TMeasurementVector , typename TTargetVector >
typedef RadialBasisFunctionBase<ValueType> itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::RBFTransferFunctionType

Definition at line 74 of file itkRBFNetwork.h.

template<typename TMeasurementVector , typename TTargetVector >
typedef RBFNetwork itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::Self

Definition at line 51 of file itkRBFNetwork.h.

template<typename TMeasurementVector , typename TTargetVector >
typedef MultilayerNeuralNetworkBase<TMeasurementVector, TTargetVector , BackPropagationLayer<TMeasurementVector, TTargetVector> > itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::Superclass

Definition at line 53 of file itkRBFNetwork.h.

template<typename TMeasurementVector , typename TTargetVector >
typedef Superclass::TargetVectorType itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::TargetVectorType

Definition at line 59 of file itkRBFNetwork.h.

template<typename TMeasurementVector , typename TTargetVector >
typedef Superclass::TransferFunctionInterfaceType itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::TransferFunctionInterfaceType

Definition at line 68 of file itkRBFNetwork.h.

template<typename TMeasurementVector , typename TTargetVector >
typedef Superclass::ValueType itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::ValueType

Definition at line 57 of file itkRBFNetwork.h.

template<typename TMeasurementVector , typename TTargetVector >
typedef Superclass::WeightVectorType itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::WeightVectorType

Definition at line 65 of file itkRBFNetwork.h.

Constructor & Destructor Documentation

template<typename TMeasurementVector , typename TTargetVector >
itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::RBFNetwork ( )
protected
template<typename TMeasurementVector , typename TTargetVector >
virtual itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::~RBFNetwork ( )
inlineprotectedvirtual

Definition at line 131 of file itkRBFNetwork.h.

Member Function Documentation

template<typename TMeasurementVector , typename TTargetVector >
virtual::itk::LightObject::Pointer itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::CreateAnother ( void  ) const
virtual

Method for creation through the object factory.

Reimplemented from itk::Object.

template<typename TMeasurementVector , typename TTargetVector >
virtual NetworkOutputType itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::GenerateOutput ( TMeasurementVector  samplevector)
virtual
template<typename TMeasurementVector , typename TTargetVector >
virtual const unsigned int& itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::GetClasses ( ) const
virtual
template<typename TMeasurementVector , typename TTargetVector >
virtual const ValueType& itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::GetFirstHiddenLayerBias ( ) const
virtual
template<typename TMeasurementVector , typename TTargetVector >
virtual const char* itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::GetNameOfClass ( ) const
virtual
template<typename TMeasurementVector , typename TTargetVector >
virtual const unsigned int& itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::GetNumOfFirstHiddenNodes ( ) const
virtual
template<typename TMeasurementVector , typename TTargetVector >
virtual const unsigned int& itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::GetNumOfInputNodes ( ) const
virtual
template<typename TMeasurementVector , typename TTargetVector >
virtual const unsigned int& itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::GetNumOfOutputNodes ( ) const
virtual
template<typename TMeasurementVector , typename TTargetVector >
virtual const ValueType& itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::GetOutputLayerBias ( ) const
virtual
template<typename TMeasurementVector , typename TTargetVector >
void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::Initialize ( )
virtual

Restore the data object to its initial state. This means releasing memory.

Reimplemented from itk::DataObject.

template<typename TMeasurementVector , typename TTargetVector >
void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::InitializeWeights ( )
template<typename TMeasurementVector , typename TTargetVector >
static Pointer itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::New ( )
static

Method for creation through the object factory.

template<typename TMeasurementVector , typename TTargetVector >
virtual void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const
protectedvirtual
template<typename TMeasurementVector , typename TTargetVector >
void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetCenter ( TMeasurementVector  c)
template<typename TMeasurementVector , typename TTargetVector >
virtual void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetClasses ( unsigned int  _arg)
virtual
template<typename TMeasurementVector , typename TTargetVector >
void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetDistanceMetric ( DistanceMetricType f)
template<typename TMeasurementVector , typename TTargetVector >
virtual void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetFirstHiddenLayerBias ( ValueType  _arg)
virtual
template<typename TMeasurementVector , typename TTargetVector >
void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetFirstHiddenTransferFunction ( TransferFunctionInterfaceType f)
template<typename TMeasurementVector , typename TTargetVector >
void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetInputFunction ( InputFunctionInterfaceType f)
template<typename TMeasurementVector , typename TTargetVector >
void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetInputTransferFunction ( TransferFunctionInterfaceType f)
template<typename TMeasurementVector , typename TTargetVector >
virtual void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetNumOfFirstHiddenNodes ( unsigned int  _arg)
virtual
template<typename TMeasurementVector , typename TTargetVector >
virtual void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetNumOfInputNodes ( unsigned int  _arg)
virtual
template<typename TMeasurementVector , typename TTargetVector >
virtual void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetNumOfOutputNodes ( unsigned int  _arg)
virtual
template<typename TMeasurementVector , typename TTargetVector >
virtual void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetOutputLayerBias ( ValueType  _arg)
virtual
template<typename TMeasurementVector , typename TTargetVector >
void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetOutputTransferFunction ( TransferFunctionInterfaceType f)
template<typename TMeasurementVector , typename TTargetVector >
void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetRadius ( ValueType  r)

Member Data Documentation

template<typename TMeasurementVector , typename TTargetVector >
std::vector<TMeasurementVector> itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::m_Centers
private

Definition at line 139 of file itkRBFNetwork.h.

template<typename TMeasurementVector , typename TTargetVector >
unsigned int itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::m_Classes
private

Definition at line 142 of file itkRBFNetwork.h.

template<typename TMeasurementVector , typename TTargetVector >
DistanceMetricType::Pointer itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::m_DistanceMetric
private

Definition at line 138 of file itkRBFNetwork.h.

template<typename TMeasurementVector , typename TTargetVector >
ValueType itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::m_FirstHiddenLayerBias
private

Definition at line 147 of file itkRBFNetwork.h.

template<typename TMeasurementVector , typename TTargetVector >
RBFTransferFunctionType::Pointer itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::m_FirstHiddenTransferFunction
private

Definition at line 152 of file itkRBFNetwork.h.

template<typename TMeasurementVector , typename TTargetVector >
InputFunctionInterfaceType::Pointer itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::m_InputFunction
private

Definition at line 150 of file itkRBFNetwork.h.

template<typename TMeasurementVector , typename TTargetVector >
TransferFunctionInterfaceType::Pointer itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::m_InputTransferFunction
private

Definition at line 151 of file itkRBFNetwork.h.

template<typename TMeasurementVector , typename TTargetVector >
unsigned int itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::m_NumOfFirstHiddenNodes
private

Definition at line 144 of file itkRBFNetwork.h.

template<typename TMeasurementVector , typename TTargetVector >
unsigned int itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::m_NumOfInputNodes
private

Definition at line 143 of file itkRBFNetwork.h.

template<typename TMeasurementVector , typename TTargetVector >
unsigned int itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::m_NumOfOutputNodes
private

Definition at line 145 of file itkRBFNetwork.h.

template<typename TMeasurementVector , typename TTargetVector >
ValueType itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::m_OutputLayerBias
private

Definition at line 148 of file itkRBFNetwork.h.

template<typename TMeasurementVector , typename TTargetVector >
TransferFunctionInterfaceType::Pointer itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::m_OutputTransferFunction
private

Definition at line 153 of file itkRBFNetwork.h.

template<typename TMeasurementVector , typename TTargetVector >
std::vector<double> itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::m_Radii
private

Definition at line 140 of file itkRBFNetwork.h.


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