ITK  4.4.0
Insight Segmentation and Registration Toolkit
Public Types | Public Member Functions | Protected Member Functions | Protected Attributes | List of all members
itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector > Class Template Referenceabstract

#include <itkNeuralNetworkObject.h>

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

Detailed Description

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

This is the itkNeuralNetworkObject class.

Definition at line 36 of file itkNeuralNetworkObject.h.

Public Types

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 void BackwardPropagate (NetworkOutputType errors)=0
 
virtual NetworkOutputType GenerateOutput (TMeasurementVector samplevector)=0
 
virtual const char * GetNameOfClass () const
 
virtual void UpdateWeights (ValueType)=0
 
- Public Member Functions inherited from itk::DataObject
virtual void CopyInformation (const DataObject *)
 
virtual void DataHasBeenGenerated ()
 
void DisconnectPipeline ()
 
bool GetDataReleased () const
 
virtual const bool & GetReleaseDataFlag ()
 
SmartPointerForwardReference
< ProcessObject
GetSource () const
 
DataObjectPointerArraySizeType GetSourceOutputIndex () const
 
const DataObjectIdentifierTypeGetSourceOutputName () const
 
virtual ModifiedTimeType GetUpdateMTime () const
 
virtual void Graft (const DataObject *)
 
virtual void Initialize ()
 
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 ()
 
virtual void SetRealTimeStamp (RealTimeStamp _arg)
 
virtual const RealTimeStampGetRealTimeStamp ()
 
- Public Member Functions inherited from itk::Object
unsigned long AddObserver (const EventObject &event, Command *)
 
unsigned long AddObserver (const EventObject &event, Command *) const
 
virtual LightObject::Pointer CreateAnother () 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
 
void RemoveAllObservers ()
 
void RemoveObserver (unsigned long tag)
 
void SetDebug (bool debugFlag) const
 
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
 
virtual void SetReferenceCount (int)
 
virtual void UnRegister () 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

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

Protected Attributes

ValueType m_LearningRate
 

Additional Inherited Members

- Static Public Member Functions inherited from itk::DataObject
static bool GetGlobalReleaseDataFlag ()
 
static void GlobalReleaseDataFlagOff ()
 
static void GlobalReleaseDataFlagOn ()
 
static void SetGlobalReleaseDataFlag (bool val)
 
- Protected Types inherited from itk::LightObject
typedef int InternalReferenceCountType
 

Member Typedef Documentation

template<class TMeasurementVector , class TTargetVector >
typedef SmartPointer<const Self> itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >::ConstPointer

Definition at line 43 of file itkNeuralNetworkObject.h.

template<class TMeasurementVector , class TTargetVector >
typedef LayerBase<TMeasurementVector, TTargetVector> itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >::LayerInterfaceType

Definition at line 52 of file itkNeuralNetworkObject.h.

template<class TMeasurementVector , class TTargetVector >
typedef TMeasurementVector itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >::MeasurementVectorType

Definition at line 45 of file itkNeuralNetworkObject.h.

template<class TMeasurementVector , class TTargetVector >
typedef Array<ValueType> itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >::NetworkOutputType

Definition at line 49 of file itkNeuralNetworkObject.h.

template<class TMeasurementVector , class TTargetVector >
typedef SmartPointer<Self> itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >::Pointer

Definition at line 42 of file itkNeuralNetworkObject.h.

template<class TMeasurementVector , class TTargetVector >
typedef NeuralNetworkObject itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >::Self

Definition at line 40 of file itkNeuralNetworkObject.h.

template<class TMeasurementVector , class TTargetVector >
typedef DataObject itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >::Superclass

Definition at line 41 of file itkNeuralNetworkObject.h.

template<class TMeasurementVector , class TTargetVector >
typedef TTargetVector itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >::TargetVectorType

Definition at line 50 of file itkNeuralNetworkObject.h.

template<class TMeasurementVector , class TTargetVector >
typedef MeasurementVectorType::ValueType itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >::ValueType

Definition at line 48 of file itkNeuralNetworkObject.h.

Constructor & Destructor Documentation

template<class TMeasurementVector , class TTargetVector >
itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >::NeuralNetworkObject ( )
protected
template<class TMeasurementVector , class TTargetVector >
virtual itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >::~NeuralNetworkObject ( )
protectedvirtual

Member Function Documentation

template<class TMeasurementVector , class TTargetVector >
virtual void itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >::BackwardPropagate ( NetworkOutputType  errors)
pure virtual
template<class TMeasurementVector , class TTargetVector >
virtual NetworkOutputType itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >::GenerateOutput ( TMeasurementVector  samplevector)
pure virtual
template<class TMeasurementVector , class TTargetVector >
virtual const char* itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >::GetNameOfClass ( ) const
virtual
template<class TMeasurementVector , class TTargetVector >
virtual void itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const
protectedvirtual
template<class TMeasurementVector , class TTargetVector >
virtual void itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >::UpdateWeights ( ValueType  )
pure virtual

Member Data Documentation

template<class TMeasurementVector , class TTargetVector >
ValueType itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >::m_LearningRate
protected

Definition at line 67 of file itkNeuralNetworkObject.h.


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