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itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer > Class Template Reference

#include <itkMultilayerNeuralNetworkBase.h>

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List of all members.

Public Types

typedef SmartPointer< const SelfConstPointer
typedef InputFunctionBase
< ValueType *, ValueType
InputFunctionInterfaceType
typedef
Superclass::LayerInterfaceType 
LayerInterfaceType
typedef std::vector< typename
LayerInterfaceType::Pointer
LayerVectorType
typedef LearningFunctionBase
< typename
TLearningLayer::LayerInterfaceType,
TTargetVector > 
LearningFunctionInterfaceType
typedef TLearningLayer 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 Member Functions

void AddLayer (LayerInterfaceType *)
void AddWeightSet (typename LayerInterfaceType::WeightSetInterfaceType *)
virtual void BackwardPropagate (NetworkOutputType errors)=0
virtual void BackwardPropagate (NetworkOutputType errors)
virtual void CopyInformation (const DataObject *)
virtual LightObject::Pointer CreateAnother () const
void DataHasBeenGenerated ()
virtual void DebugOff () const
virtual void DebugOn () const
virtual void Delete ()
void DisconnectPipeline ()
virtual NetworkOutputType GenerateOutput (TMeasurementVector samplevector)
CommandGetCommand (unsigned long tag)
bool GetDataReleased () const
bool GetDebug () const
const LayerInterfaceTypeGetLayer (int layer_id) const
LayerInterfaceTypeGetLayer (int layer_id)
const MetaDataDictionaryGetMetaDataDictionary (void) const
MetaDataDictionaryGetMetaDataDictionary (void)
virtual unsigned long GetMTime () const
virtual const char * GetNameOfClass () const
int GetNumOfLayers (void) const
int GetNumOfWeightSets (void) const
virtual int GetReferenceCount () const
SmartPointerForwardReference
< ProcessObject
GetSource () const
unsigned int GetSourceOutputIndex () const
virtual unsigned long GetUpdateMTime () const
LayerInterfaceType::WeightSetInterfaceType * GetWeightSet (unsigned int id)
virtual void Graft (const DataObject *)
bool HasObserver (const EventObject &event) const
virtual void Initialize ()
void InitializeWeights ()
void InvokeEvent (const EventObject &) const
void InvokeEvent (const EventObject &)
virtual void Modified () const
virtual void PrepareForNewData ()
void Print (std::ostream &os, Indent indent=0) const
virtual void Register () const
void ReleaseData ()
void RemoveAllObservers ()
void RemoveObserver (unsigned long tag)
virtual bool RequestedRegionIsOutsideOfTheBufferedRegion ()
virtual void ResetPipeline ()
void SetDebug (bool debugFlag) const
void SetLearningFunction (LearningFunctionInterfaceType *f)
void SetLearningRate (ValueType learningrate)
void SetLearningRule (LearningFunctionInterfaceType *)
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void SetReferenceCount (int)
virtual void SetRequestedRegion (DataObject *)
virtual void SetRequestedRegionToLargestPossibleRegion ()
bool ShouldIReleaseData () const
virtual void UnRegister () const
virtual void Update ()
virtual void UpdateOutputInformation ()
virtual void UpdateWeights (ValueType)=0
virtual void UpdateWeights (ValueType)
virtual bool VerifyRequestedRegion ()

Static Public Member Functions

static void BreakOnError ()
static Pointer New ()

Protected Member Functions

 MultilayerNeuralNetworkBase ()
bool PrintObservers (std::ostream &os, Indent indent) const
virtual void PrintSelf (std::ostream &os, Indent indent) const
virtual void PropagateResetPipeline ()
 ~MultilayerNeuralNetworkBase ()

Protected Attributes

LayerVectorType m_Layers
LearningFunctionInterfaceType::Pointer m_LearningFunction
ValueType m_LearningRate
InternalReferenceCountType m_ReferenceCount
SimpleFastMutexLock m_ReferenceCountLock
WeightVectorType m_Weights



unsigned long AddObserver (const EventObject &event, Command *) const
unsigned long AddObserver (const EventObject &event, Command *)
static bool GetGlobalWarningDisplay ()
static void GlobalWarningDisplayOff ()
static void GlobalWarningDisplayOn ()
static void SetGlobalWarningDisplay (bool flag)



virtual const unsigned long & GetPipelineMTime ()
virtual const bool & GetReleaseDataFlag ()
virtual void PropagateRequestedRegion () throw (InvalidRequestedRegionError)
virtual void ReleaseDataFlagOff ()
virtual void ReleaseDataFlagOn ()
void SetPipelineMTime (unsigned long time)
void SetReleaseDataFlag (bool flag)
virtual void UpdateOutputData ()
static bool GetGlobalReleaseDataFlag ()
static void GlobalReleaseDataFlagOff ()
static void GlobalReleaseDataFlagOn ()
static void SetGlobalReleaseDataFlag (bool val)



virtual void PrintHeader (std::ostream &os, Indent indent) const
virtual void PrintTrailer (std::ostream &os, Indent indent) const
typedef int InternalReferenceCountType

Detailed Description

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
class itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >

Definition at line 29 of file itkMultilayerNeuralNetworkBase.h.


Member Typedef Documentation

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
typedef SmartPointer<const Self> itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::ConstPointer
template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
typedef InputFunctionBase<ValueType*, ValueType> itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::InputFunctionInterfaceType
typedef int itk::LightObject::InternalReferenceCountType [protected, inherited]

Define the type of the reference count according to the target. This allows the use of atomic operations

Definition at line 139 of file itkLightObject.h.

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
typedef Superclass::LayerInterfaceType itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::LayerInterfaceType
template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
typedef std::vector<typename LayerInterfaceType::Pointer> itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::LayerVectorType
template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
typedef LearningFunctionBase<typename TLearningLayer::LayerInterfaceType, TTargetVector> itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::LearningFunctionInterfaceType

Definition at line 53 of file itkMultilayerNeuralNetworkBase.h.

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
typedef TLearningLayer itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::LearningLayerType
template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
typedef Superclass::MeasurementVectorType itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::MeasurementVectorType
template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
typedef Superclass::NetworkOutputType itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::NetworkOutputType
template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
typedef SmartPointer<Self> itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::Pointer
template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
typedef MultilayerNeuralNetworkBase itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::Self
template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
typedef NeuralNetworkObject<TMeasurementVector, TTargetVector> itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::Superclass
template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
typedef Superclass::TargetVectorType itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::TargetVectorType
template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
typedef TransferFunctionBase<ValueType> itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::TransferFunctionInterfaceType
template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
typedef Superclass::ValueType itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::ValueType
template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
typedef std::vector<typename LayerInterfaceType::WeightSetInterfaceType::Pointer> itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::WeightVectorType

Constructor & Destructor Documentation

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::MultilayerNeuralNetworkBase (  )  [protected]
template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::~MultilayerNeuralNetworkBase (  )  [protected]

Member Function Documentation

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
void itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::AddLayer ( LayerInterfaceType  ) 
unsigned long itk::Object::AddObserver ( const EventObject event,
Command  
) const [inherited]

This is a global flag that controls whether any debug, warning or error messages are displayed.

unsigned long itk::Object::AddObserver ( const EventObject event,
Command  
) [inherited]

Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an itk::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
void itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::AddWeightSet ( typename LayerInterfaceType::WeightSetInterfaceType *   ) 
template<class TMeasurementVector , class TTargetVector >
virtual void itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >::BackwardPropagate ( NetworkOutputType  errors  )  [pure virtual, inherited]
template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
virtual void itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::BackwardPropagate ( NetworkOutputType  errors  )  [virtual]
static void itk::LightObject::BreakOnError (  )  [static, inherited]

This method is called when itkExceptionMacro executes. It allows the debugger to break on error.

virtual void itk::DataObject::CopyInformation ( const DataObject  )  [inline, virtual, inherited]

Copy information from the specified data set. This method is part of the pipeline execution model. By default, a ProcessObject will copy meta-data from the first input to all of its outputs. See ProcessObject::GenerateOutputInformation(). Each subclass of DataObject is responsible for being able to copy whatever meta-data it needs from from another DataObject. The default implementation of this method is empty. If a subclass overrides this method, it should always call its superclass' version.

Definition at line 439 of file itkDataObject.h.

virtual LightObject::Pointer itk::Object::CreateAnother (  )  const [virtual, inherited]
void itk::DataObject::DataHasBeenGenerated (  )  [inherited]

Inform the pipeline mechanism that data has been generated. This method is called by ProcessObject::UpdateOutputData() once the process object has finished generating its data. This essentially marks the DataObject as being updated and ready for use.

virtual void itk::Object::DebugOff (  )  const [virtual, inherited]

Turn debugging output off.

virtual void itk::Object::DebugOn (  )  const [virtual, inherited]

Turn debugging output on.

virtual void itk::LightObject::Delete (  )  [virtual, inherited]

Delete an itk object. This method should always be used to delete an object when the new operator was used to create it. Using the C delete method will not work with reference counting.

void itk::DataObject::DisconnectPipeline (  )  [inherited]

Separate this data object from the pipeline. This routine disconnects a data object from the upstream pipeline. Hence an Update() from downstream will not propagate back past this data object. To completely isolate this data object from the pipeline, the application must remove this data object from any filters which it is connected as the input.

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
virtual NetworkOutputType itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::GenerateOutput ( TMeasurementVector  samplevector  )  [virtual]
Command* itk::Object::GetCommand ( unsigned long  tag  )  [inherited]

Get the command associated with the given tag. NOTE: This returns a pointer to a Command, but it is safe to asign this to a Command::Pointer. Since Command inherits from LightObject, at this point in the code, only a pointer or a reference to the Command can be used.

bool itk::DataObject::GetDataReleased (  )  const [inline, inherited]

Get the flag indicating the data has been released.

Definition at line 334 of file itkDataObject.h.

bool itk::Object::GetDebug (  )  const [inherited]

Get the value of the debug flag.

static bool itk::DataObject::GetGlobalReleaseDataFlag (  )  [static, inherited]

Turn on/off a flag to control whether every object releases its data after being used by a filter. Being a global flag, it controls the behavior of all DataObjects and ProcessObjects.

static bool itk::Object::GetGlobalWarningDisplay (  )  [static, inherited]

This is a global flag that controls whether any debug, warning or error messages are displayed.

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
const LayerInterfaceType* itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::GetLayer ( int  layer_id  )  const
template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
LayerInterfaceType* itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::GetLayer ( int  layer_id  ) 
const MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void   )  const [inherited]
Returns:
A constant reference to this objects MetaDataDictionary.
MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void   )  [inherited]
Returns:
A reference to this objects MetaDataDictionary.
Warning:
This reference may be changed.
virtual unsigned long itk::Object::GetMTime (  )  const [virtual, inherited]

Return this objects modified time.

Reimplemented in itk::ImageRegistrationMethod< TFixedImage, TMovingImage >, itk::ImageToSpatialObjectRegistrationMethod< TFixedImage, TMovingSpatialObject >, itk::MultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage >, itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >, itk::PointSetToPointSetRegistrationMethod< TFixedPointSet, TMovingPointSet >, itk::DeformationFieldSource< TOutputImage >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >, itk::ImageAdaptor< TImage, TAccessor >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >, itk::ImageSpatialObject< TDimension, TPixelType >, itk::MeshSpatialObject< TMesh >, itk::SceneSpatialObject< TSpaceDimension >, itk::SpatialObject< TDimension >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, PixelAccessor >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageSpatialObject< TDimension, unsigned char >, itk::SpatialObject< 3 >, and itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >.

Referenced by itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >::GetObjectMTime().

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
virtual const char* itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::GetNameOfClass (  )  const [virtual]
template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
int itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::GetNumOfLayers ( void   )  const [inline]

Definition at line 71 of file itkMultilayerNeuralNetworkBase.h.

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
int itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::GetNumOfWeightSets ( void   )  const [inline]

Definition at line 75 of file itkMultilayerNeuralNetworkBase.h.

virtual const unsigned long& itk::DataObject::GetPipelineMTime (  )  [virtual, inherited]

Turn on/off a flag to control whether every object releases its data after being used by a filter. Being a global flag, it controls the behavior of all DataObjects and ProcessObjects.

virtual int itk::LightObject::GetReferenceCount (  )  const [inline, virtual, inherited]

Gets the reference count on this object.

Definition at line 106 of file itkLightObject.h.

virtual const bool& itk::DataObject::GetReleaseDataFlag (  )  [virtual, inherited]

Turn on/off a flag to control whether every object releases its data after being used by a filter. Being a global flag, it controls the behavior of all DataObjects and ProcessObjects.

SmartPointerForwardReference<ProcessObject> itk::DataObject::GetSource (  )  const [inherited]

Get the process object that generated this data object. If there is no process object, then the data object has been disconnected from the pipeline, or the data object was created manually. (Note: we cannot use the GetObjectMacro() defined in itkMacro because the mutual dependency of DataObject and ProcessObject causes compile problems. Also, a forward reference smart pointer is returned, not a smart pointer, because of the circular dependency between the process and data object.)

GetSource() returns a SmartPointerForwardReference and not a WeakPointer because it is assumed the code calling GetSource() wants to hold a long term reference to the source.

unsigned int itk::DataObject::GetSourceOutputIndex (  )  const [inherited]

Which of the source's outputs corresponds to this data object?

virtual unsigned long itk::DataObject::GetUpdateMTime (  )  const [virtual, inherited]

MTime for the last time this DataObject was generated.

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
LayerInterfaceType::WeightSetInterfaceType* itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::GetWeightSet ( unsigned int  id  )  [inline]

Definition at line 87 of file itkMultilayerNeuralNetworkBase.h.

static void itk::DataObject::GlobalReleaseDataFlagOff (  )  [inline, static, inherited]

Turn on/off a flag to control whether every object releases its data after being used by a filter. Being a global flag, it controls the behavior of all DataObjects and ProcessObjects.

Definition at line 319 of file itkDataObject.h.

static void itk::DataObject::GlobalReleaseDataFlagOn (  )  [inline, static, inherited]

Turn on/off a flag to control whether every object releases its data after being used by a filter. Being a global flag, it controls the behavior of all DataObjects and ProcessObjects.

Definition at line 317 of file itkDataObject.h.

static void itk::Object::GlobalWarningDisplayOff (  )  [inline, static, inherited]

This is a global flag that controls whether any debug, warning or error messages are displayed.

Definition at line 100 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

static void itk::Object::GlobalWarningDisplayOn (  )  [inline, static, inherited]

This is a global flag that controls whether any debug, warning or error messages are displayed.

Definition at line 98 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

virtual void itk::DataObject::Graft ( const DataObject  )  [inline, virtual, inherited]

Method for grafting the content of one data object into another one. This method is intended to be overloaded by derived classes. Each one of them should use dynamic_casting in order to verify that the grafted object is actually of the same type as the class on which the Graft() method was invoked.

Definition at line 453 of file itkDataObject.h.

bool itk::Object::HasObserver ( const EventObject event  )  const [inherited]

Return true if an observer is registered for this event.

virtual void itk::DataObject::Initialize (  )  [virtual, inherited]

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

Reimplemented in itk::watershed::SegmentTree< TScalarType >, itk::ChainCodePath< VDimension >, itk::FourierSeriesPath< VDimension >, itk::Image< TPixel, VImageDimension >, itk::ImageAdaptor< TImage, TAccessor >, itk::ImageBase< VImageDimension >, itk::Mesh< TPixelType, VDimension, TMeshTraits >, itk::OrthogonallyCorrected2DParametricPath, itk::PointSet< TPixelType, VDimension, TMeshTraits >, itk::PolyLineParametricPath< VDimension >, itk::SparseImage< TNode, VImageDimension >, itk::SpecialCoordinatesImage< TPixel, VImageDimension >, itk::VectorImage< TPixel, VImageDimension >, itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, itk::LabelMap< TLabelObject >, itk::QuadEdgeMesh< TPixel, VDimension, TTraits >, itk::ChainCodePath< 2 >, itk::Image< BloxCoreAtomPixel< NDimension >, TImageDimension >, itk::Image< TNode *, VImageDimension >, itk::Image< BloxBoundaryProfilePixel< TImageDimension >, TImageDimension >, itk::Image< TBloxPixelType, TImageDimension >, itk::Image< BloxBoundaryPointPixel< TImageDimension >, TImageDimension >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, PixelAccessor >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageBase< ::itk::GetImageDimension< TLabelObject >::ImageDimension >, itk::ImageBase< ::itk::GetImageDimension< VectorImage< TPixelType, Dimension > >::ImageDimension >, itk::ImageBase< ::itk::GetImageDimension< TImage >::ImageDimension >, itk::Mesh< TCoordType, 2, DefaultDynamicMeshTraits< TCoordType, 2, 2, TCoordType > >, itk::Mesh< TPixel, VDimension, TTraits >, itk::PointSet< TPixel, VDimension, TTraits >, itk::PointSet< TCoordType, VDimension, DefaultDynamicMeshTraits< TCoordType, 2, 2, TCoordType > >, itk::SpecialCoordinatesImage< TPixel, 3 >, and itk::VectorImage< TPixelType, Dimension >.

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
void itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::InitializeWeights (  ) 
void itk::Object::InvokeEvent ( const EventObject  )  const [inherited]

Call Execute on all the Commands observing this event id. The actions triggered by this call doesn't modify this object.

void itk::Object::InvokeEvent ( const EventObject  )  [inherited]

Call Execute on all the Commands observing this event id.

virtual void itk::Object::Modified (  )  const [virtual, inherited]

Update the modification time for this object. Many filters rely on the modification time to determine if they need to recompute their data.

Reimplemented in itk::NormalizeImageFilter< TInputImage, TOutputImage >, itk::ImageAdaptor< TImage, TAccessor >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, TFilter >, itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, PixelAccessor >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, and itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, RankImageFilter< TInputImage, TInputImage, FlatStructuringElement< ::itk::GetImageDimension< TInputImage >::ImageDimension > > >.

Referenced by itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InsertNarrowBandNode(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBand(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandInnerRadius(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandTotalRadius(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetTotalObservedScale(), and itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation().

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
static Pointer itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::New (  )  [static]
virtual void itk::DataObject::PrepareForNewData (  )  [inline, virtual, inherited]

Setup a DataObject to receive new data. This method is called by the pipeline mechanism on each output of filter that needs to execute. The default implementation is to return a DataObject to its initial state. This may involve releasing previously allocated bulk data. Subclasses of DataObject may want to override this method and/or the Initialize() method if they want a different default behavior (for instance a DataObject might want finer control over its bulk data memory management).

Definition at line 389 of file itkDataObject.h.

void itk::LightObject::Print ( std::ostream &  os,
Indent  indent = 0 
) const [inherited]

Cause the object to print itself out.

Referenced by itk::WeakPointer< ProcessObject >::Print().

virtual void itk::LightObject::PrintHeader ( std::ostream &  os,
Indent  indent 
) const [protected, virtual, inherited]

Define the type of the reference count according to the target. This allows the use of atomic operations

bool itk::Object::PrintObservers ( std::ostream &  os,
Indent  indent 
) const [protected, inherited]
template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
virtual void itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const [protected, virtual]
virtual void itk::LightObject::PrintTrailer ( std::ostream &  os,
Indent  indent 
) const [protected, virtual, inherited]

Define the type of the reference count according to the target. This allows the use of atomic operations

virtual void itk::DataObject::PropagateRequestedRegion (  )  throw (InvalidRequestedRegionError) [virtual, inherited]

Methods to update the pipeline. Called internally by the pipeline mechanism.

Reimplemented in itk::ImageAdaptor< TImage, TAccessor >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, PixelAccessor >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, and itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >.

virtual void itk::DataObject::PropagateResetPipeline (  )  [protected, virtual, inherited]

Propagate a call to ResetPipeline(). Called only from ProcessObject.

virtual void itk::Object::Register (  )  const [virtual, inherited]

Increase the reference count (mark as used by another object).

Reimplemented from itk::LightObject.

void itk::DataObject::ReleaseData (  )  [inherited]

Release data back to system to conserve memory resource. Used during pipeline execution. Releasing this data does not make down-stream data invalid, so it does not modify the MTime of this data object.

virtual void itk::DataObject::ReleaseDataFlagOff (  )  [virtual, inherited]

Turn on/off a flag to control whether every object releases its data after being used by a filter. Being a global flag, it controls the behavior of all DataObjects and ProcessObjects.

virtual void itk::DataObject::ReleaseDataFlagOn (  )  [virtual, inherited]

Turn on/off a flag to control whether every object releases its data after being used by a filter. Being a global flag, it controls the behavior of all DataObjects and ProcessObjects.

void itk::Object::RemoveAllObservers (  )  [inherited]

Remove all observers .

void itk::Object::RemoveObserver ( unsigned long  tag  )  [inherited]

Remove the observer with this tag value.

virtual bool itk::DataObject::RequestedRegionIsOutsideOfTheBufferedRegion (  )  [inline, virtual, inherited]

Determine whether the RequestedRegion is outside of the BufferedRegion. This method returns true if the RequestedRegion is outside the BufferedRegion (true if at least one pixel is outside). This is used by the pipeline mechanism to determine whether a filter needs to re-execute in order to satisfy the current request. If the current RequestedRegion is already inside the BufferedRegion from the previous execution (and the current filter is up to date), then a given filter does not need to re-execute

Reimplemented in itk::ImageBase< VImageDimension >, itk::PointSet< TPixelType, VDimension, TMeshTraits >, itk::QuadEdgeMesh< TPixel, VDimension, TTraits >, itk::SpatialObject< TDimension >, itk::ImageBase< ::itk::GetImageDimension< TLabelObject >::ImageDimension >, itk::ImageBase< ::itk::GetImageDimension< VectorImage< TPixelType, Dimension > >::ImageDimension >, itk::ImageBase< ::itk::GetImageDimension< TImage >::ImageDimension >, itk::PointSet< TPixel, VDimension, TTraits >, itk::PointSet< TCoordType, VDimension, DefaultDynamicMeshTraits< TCoordType, 2, 2, TCoordType > >, itk::SpatialObject< 3 >, and itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >.

Definition at line 413 of file itkDataObject.h.

virtual void itk::DataObject::ResetPipeline (  )  [virtual, inherited]

Reset the pipeline. If an exception is thrown during an Update(), the pipeline may be in an inconsistent state. This method clears the internal state of the pipeline so Update() can be called.

void itk::Object::SetDebug ( bool  debugFlag  )  const [inherited]

Set the value of the debug flag. A non-zero value turns debugging on.

static void itk::DataObject::SetGlobalReleaseDataFlag ( bool  val  )  [static, inherited]

Turn on/off a flag to control whether every object releases its data after being used by a filter. Being a global flag, it controls the behavior of all DataObjects and ProcessObjects.

static void itk::Object::SetGlobalWarningDisplay ( bool  flag  )  [static, inherited]

This is a global flag that controls whether any debug, warning or error messages are displayed.

Referenced by itk::Object::GlobalWarningDisplayOff(), and itk::Object::GlobalWarningDisplayOn().

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
void itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::SetLearningFunction ( LearningFunctionInterfaceType f  ) 
template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
void itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::SetLearningRate ( ValueType  learningrate  ) 
template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
void itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::SetLearningRule ( LearningFunctionInterfaceType  ) 
void itk::Object::SetMetaDataDictionary ( const MetaDataDictionary rhs  )  [inherited]
Returns:
Set the MetaDataDictionary
void itk::DataObject::SetPipelineMTime ( unsigned long  time  )  [inline, inherited]

The maximum MTime of all upstream filters and data objects. This does not include the MTime of this data object.

Definition at line 373 of file itkDataObject.h.

virtual void itk::Object::SetReferenceCount ( int   )  [virtual, inherited]

Sets the reference count (use with care)

Reimplemented from itk::LightObject.

void itk::DataObject::SetReleaseDataFlag ( bool  flag  )  [inline, inherited]

Turn on/off a flag to control whether this object's data is released after being used by a filter.

Definition at line 304 of file itkDataObject.h.

virtual void itk::DataObject::SetRequestedRegion ( DataObject  )  [inline, virtual, inherited]

Set the requested region from this data object to match the requested region of the data object passed in as a parameter. For DataObject's that do not support Regions, this method does nothing. Subclasses of DataObject that do support Regions, provide an alternative implementation.

Definition at line 446 of file itkDataObject.h.

virtual void itk::DataObject::SetRequestedRegionToLargestPossibleRegion (  )  [inline, virtual, inherited]

Set the RequestedRegion to the LargestPossibleRegion. This forces a filter to produce all of the output in one execution (i.e. not streaming) on the next call to Update().

Reimplemented in itk::ImageAdaptor< TImage, TAccessor >, itk::ImageBase< VImageDimension >, itk::PointSet< TPixelType, VDimension, TMeshTraits >, itk::SpatialObject< TDimension >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, PixelAccessor >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageBase< ::itk::GetImageDimension< TLabelObject >::ImageDimension >, itk::ImageBase< ::itk::GetImageDimension< VectorImage< TPixelType, Dimension > >::ImageDimension >, itk::ImageBase< ::itk::GetImageDimension< TImage >::ImageDimension >, itk::PointSet< TPixel, VDimension, TTraits >, itk::PointSet< TCoordType, VDimension, DefaultDynamicMeshTraits< TCoordType, 2, 2, TCoordType > >, itk::SpatialObject< 3 >, and itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >.

Definition at line 402 of file itkDataObject.h.

bool itk::DataObject::ShouldIReleaseData (  )  const [inherited]

Return flag indicating whether data should be released after use by a filter.

virtual void itk::Object::UnRegister (  )  const [virtual, inherited]

Decrease the reference count (release by another object).

Reimplemented from itk::LightObject.

virtual void itk::DataObject::Update (  )  [virtual, inherited]

Provides opportunity for the data object to insure internal consistency before access. Also causes owning source/filter (if any) to update itself. The Update() method is composed of UpdateOutputInformation(), PropagateRequestedRegion(), and UpdateOutputData(). This method may call methods that throw an InvalidRequestedRegionError exception. This exception will leave the pipeline in an inconsistent state. You will need to call ResetPipeline() on the last ProcessObject in your pipeline in order to restore the pipeline to a state where you can call Update() again.

Reimplemented in itk::ImageAdaptor< TImage, TAccessor >, itk::SpatialObject< TDimension >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, PixelAccessor >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, itk::SpatialObject< 3 >, and itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >.

virtual void itk::DataObject::UpdateOutputData (  )  [virtual, inherited]

Turn on/off a flag to control whether every object releases its data after being used by a filter. Being a global flag, it controls the behavior of all DataObjects and ProcessObjects.

Reimplemented in itk::ImageAdaptor< TImage, TAccessor >, itk::ImageBase< VImageDimension >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, PixelAccessor >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageBase< ::itk::GetImageDimension< TLabelObject >::ImageDimension >, itk::ImageBase< ::itk::GetImageDimension< VectorImage< TPixelType, Dimension > >::ImageDimension >, and itk::ImageBase< ::itk::GetImageDimension< TImage >::ImageDimension >.

virtual void itk::DataObject::UpdateOutputInformation (  )  [virtual, inherited]

Update the information for this DataObject so that it can be used as an output of a ProcessObject. This method is used in the pipeline mechanism to propagate information and initialize the meta data associated with a DataObject. Any implementation of this method in a derived class is assumed to call its source's ProcessObject::UpdateOutputInformation() which determines modified times, LargestPossibleRegions, and any extra meta data like spacing, origin, etc. Default implementation simply call's it's source's UpdateOutputInformation().

Reimplemented in itk::ImageAdaptor< TImage, TAccessor >, itk::ImageBase< VImageDimension >, itk::PointSet< TPixelType, VDimension, TMeshTraits >, itk::SpatialObject< TDimension >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, PixelAccessor >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageBase< ::itk::GetImageDimension< TLabelObject >::ImageDimension >, itk::ImageBase< ::itk::GetImageDimension< VectorImage< TPixelType, Dimension > >::ImageDimension >, itk::ImageBase< ::itk::GetImageDimension< TImage >::ImageDimension >, itk::PointSet< TPixel, VDimension, TTraits >, itk::PointSet< TCoordType, VDimension, DefaultDynamicMeshTraits< TCoordType, 2, 2, TCoordType > >, itk::SpatialObject< 3 >, and itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >.

template<class TMeasurementVector , class TTargetVector >
virtual void itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >::UpdateWeights ( ValueType   )  [pure virtual, inherited]
template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
virtual void itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::UpdateWeights ( ValueType   )  [virtual]
virtual bool itk::DataObject::VerifyRequestedRegion (  )  [inline, virtual, inherited]

Verify that the RequestedRegion is within the LargestPossibleRegion.

If the RequestedRegion is not within the LargestPossibleRegion, then the filter cannot possibly satisfy the request. This method returns true if the request can be satisfied (even if it will be necessary to process the entire LargestPossibleRegion) and returns false otherwise. This method is used by PropagateRequestedRegion(). PropagateRequestedRegion() throws a InvalidRequestedRegionError exception if the requested region is not within the LargestPossibleRegion. Default implementation simply returns true in order to support DataObjects that do not need regions (for instance itk::EquivalencyTable).

Reimplemented in itk::ImageAdaptor< TImage, TAccessor >, itk::ImageBase< VImageDimension >, itk::PointSet< TPixelType, VDimension, TMeshTraits >, itk::SpatialObject< TDimension >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, PixelAccessor >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageBase< ::itk::GetImageDimension< TLabelObject >::ImageDimension >, itk::ImageBase< ::itk::GetImageDimension< VectorImage< TPixelType, Dimension > >::ImageDimension >, itk::ImageBase< ::itk::GetImageDimension< TImage >::ImageDimension >, itk::PointSet< TPixel, VDimension, TTraits >, itk::PointSet< TCoordType, VDimension, DefaultDynamicMeshTraits< TCoordType, 2, 2, TCoordType > >, itk::SpatialObject< 3 >, and itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >.

Definition at line 428 of file itkDataObject.h.


Member Data Documentation

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
LayerVectorType itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::m_Layers [protected]
template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
LearningFunctionInterfaceType::Pointer itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::m_LearningFunction [protected]

Definition at line 114 of file itkMultilayerNeuralNetworkBase.h.

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
ValueType itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::m_LearningRate [protected]

Number of uses of this object by other objects.

Definition at line 144 of file itkLightObject.h.

Mutex lock to protect modification to the reference count

Definition at line 147 of file itkLightObject.h.

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
WeightVectorType itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::m_Weights [protected]

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

Generated at Sat Apr 17 02:05:25 2010 for ITK by doxygen 1.6.1 written by Dimitri van Heesch, © 1997-2000