ITK  4.9.0
Insight Segmentation and Registration Toolkit
Public Types | Public Member Functions | Protected Member Functions | Private Attributes | List of all members
itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector > Class Template Reference

#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 SelfConstPointer
 
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
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 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) override
 
virtual const ValueTypeGetFirstHiddenLayerBias () 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 ValueTypeGetOutputLayerBias () const
 
virtual const ValueTypeGetSecondHiddenLayerBias () 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
 
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) override
 
- 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 ()
 
const MetaDataDictionaryGetMetaDataDictionary () 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 override
 
void RemoveAllObservers ()
 
void RemoveObserver (unsigned long tag)
 
void SetDebug (bool debugFlag) const
 
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
 
virtual void SetReferenceCount (int) override
 
virtual void UnRegister () const noexceptoverride
 
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 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 ()
 
- 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

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 ()
 
- 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 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
AtomicInt< int > m_ReferenceCount
 

Member Typedef Documentation

template<typename TMeasurementVector , typename TTargetVector >
typedef SmartPointer<const Self> itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::ConstPointer
template<typename TMeasurementVector , typename TTargetVector >
typedef Superclass::InputFunctionInterfaceType itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::InputFunctionInterfaceType
template<typename TMeasurementVector , typename TTargetVector >
typedef Superclass::LayerInterfaceType itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::LayerInterfaceType
template<typename TMeasurementVector , typename TTargetVector >
typedef Superclass::LayerVectorType itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::LayerVectorType
template<typename TMeasurementVector , typename TTargetVector >
typedef Superclass::LearningLayerType itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::LearningLayerType
template<typename TMeasurementVector , typename TTargetVector >
typedef Superclass::MeasurementVectorType itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::MeasurementVectorType
template<typename TMeasurementVector , typename TTargetVector >
typedef Superclass::NetworkOutputType itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::NetworkOutputType
template<typename TMeasurementVector , typename TTargetVector >
typedef SmartPointer<Self> itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::Pointer
template<typename TMeasurementVector , typename TTargetVector >
typedef TwoHiddenLayerBackPropagationNeuralNetwork itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::Self
template<typename TMeasurementVector , typename TTargetVector >
typedef MultilayerNeuralNetworkBase<TMeasurementVector, TTargetVector, BackPropagationLayer<TMeasurementVector, TTargetVector> > itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::Superclass
template<typename TMeasurementVector , typename TTargetVector >
typedef Superclass::TargetVectorType itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::TargetVectorType
template<typename TMeasurementVector , typename TTargetVector >
typedef Superclass::TransferFunctionInterfaceType itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::TransferFunctionInterfaceType
template<typename TMeasurementVector , typename TTargetVector >
typedef Superclass::ValueType itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::ValueType
template<typename TMeasurementVector , typename TTargetVector >
typedef Superclass::WeightVectorType itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::WeightVectorType

Constructor & Destructor Documentation

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

Member Function Documentation

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

Method for creation through the object factory.

Reimplemented from itk::Object.

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

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

Reimplemented from itk::DataObject.

template<typename TMeasurementVector , typename TTargetVector >
static Pointer itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::New ( )
static

Method for creation through the object factory.

template<typename TMeasurementVector , typename TTargetVector >
virtual void itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const
overrideprotectedvirtual
template<typename TMeasurementVector , typename TTargetVector >
virtual void itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::SetFirstHiddenLayerBias ( ValueType  _arg)
virtual
template<typename TMeasurementVector , typename TTargetVector >
void itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::SetFirstHiddenTransferFunction ( TransferFunctionInterfaceType f)
template<typename TMeasurementVector , typename TTargetVector >
void itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::SetInputFunction ( InputFunctionInterfaceType f)
template<typename TMeasurementVector , typename TTargetVector >
void itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::SetInputTransferFunction ( TransferFunctionInterfaceType f)
template<typename TMeasurementVector , typename TTargetVector >
virtual void itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::SetNumOfFirstHiddenNodes ( unsigned int  _arg)
virtual
template<typename TMeasurementVector , typename TTargetVector >
virtual void itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::SetNumOfInputNodes ( unsigned int  _arg)
virtual
template<typename TMeasurementVector , typename TTargetVector >
virtual void itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::SetNumOfOutputNodes ( unsigned int  _arg)
virtual
template<typename TMeasurementVector , typename TTargetVector >
virtual void itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::SetNumOfSecondHiddenNodes ( unsigned int  _arg)
virtual
template<typename TMeasurementVector , typename TTargetVector >
virtual void itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::SetOutputLayerBias ( ValueType  _arg)
virtual
template<typename TMeasurementVector , typename TTargetVector >
void itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::SetOutputTransferFunction ( TransferFunctionInterfaceType f)
template<typename TMeasurementVector , typename TTargetVector >
virtual void itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::SetSecondHiddenLayerBias ( ValueType  _arg)
virtual
template<typename TMeasurementVector , typename TTargetVector >
void itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::SetSecondHiddenTransferFunction ( TransferFunctionInterfaceType f)

Member Data Documentation

template<typename TMeasurementVector , typename TTargetVector >
ValueType itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_FirstHiddenLayerBias
private
template<typename TMeasurementVector , typename TTargetVector >
TransferFunctionInterfaceType::Pointer itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_FirstHiddenTransferFunction
private
template<typename TMeasurementVector , typename TTargetVector >
InputFunctionInterfaceType::Pointer itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_InputFunction
private
template<typename TMeasurementVector , typename TTargetVector >
TransferFunctionInterfaceType::Pointer itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_InputTransferFunction
private
template<typename TMeasurementVector , typename TTargetVector >
unsigned int itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_NumOfFirstHiddenNodes
private
template<typename TMeasurementVector , typename TTargetVector >
unsigned int itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_NumOfInputNodes
private
template<typename TMeasurementVector , typename TTargetVector >
unsigned int itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_NumOfOutputNodes
private
template<typename TMeasurementVector , typename TTargetVector >
unsigned int itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_NumOfSecondHiddenNodes
private
template<typename TMeasurementVector , typename TTargetVector >
ValueType itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_OutputLayerBias
private
template<typename TMeasurementVector , typename TTargetVector >
TransferFunctionInterfaceType::Pointer itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_OutputTransferFunction
private
template<typename TMeasurementVector , typename TTargetVector >
ValueType itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_SecondHiddenLayerBias
private
template<typename TMeasurementVector , typename TTargetVector >
TransferFunctionInterfaceType::Pointer itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_SecondHiddenTransferFunction
private

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