#include <itkMultilayerNeuralNetworkBase.h>

Inheritance diagram for itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >:

Collaboration diagram for itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >:

List of all members.

Public Types
typedef SmartPointer< const Self >	ConstPointer
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< Self >	Pointer
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 >
Public Types inherited from itk::DataObject
typedef std::string	DataObjectIdentifierType
typedef std::vector< Pointer > ::size_type	DataObjectPointerArraySizeType
Public Types inherited from itk::Object
Public Types inherited from itk::LightObject

Public Member Functions
void	AddLayer (LayerInterfaceType *)
void	AddWeightSet (typename LayerInterfaceType::WeightSetInterfaceType *)
virtual void	BackwardPropagate (NetworkOutputType errors)
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
virtual NetworkOutputType	GenerateOutput (TMeasurementVector samplevector)
LayerInterfaceType *	GetLayer (int layer_id)
const LayerInterfaceType *	GetLayer (int layer_id) const
virtual const char *	GetNameOfClass () const
int	GetNumOfLayers (void) const
int	GetNumOfWeightSets (void) const
LayerInterfaceType::WeightSetInterfaceType *	GetWeightSet (unsigned int id)
void	InitializeWeights ()
void	SetLearningFunction (LearningFunctionInterfaceType *f)
void	SetLearningRate (ValueType learningrate)
void	SetLearningRule (LearningFunctionInterfaceType *)
virtual void	UpdateWeights (ValueType)
Public Member Functions inherited from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >
virtual void	BackwardPropagate (NetworkOutputType errors)=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 DataObjectIdentifierType &	GetSourceOutputName () const
virtual unsigned long	GetUpdateMTime () const
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 (unsigned long time)
virtual const unsigned long &	GetPipelineMTime ()
virtual void	SetRealTimeStamp (RealTimeStamp _arg)
virtual const RealTimeStamp &	GetRealTimeStamp ()
virtual void	Graft (const DataObject *)
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
Command *	GetCommand (unsigned long tag)
bool	GetDebug () const
MetaDataDictionary &	GetMetaDataDictionary (void)
const MetaDataDictionary &	GetMetaDataDictionary (void) const
virtual unsigned long	GetMTime () const
virtual const TimeStamp &	GetTimeStamp () 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

Static Public Member Functions
static Pointer	New ()

Protected Member Functions
	MultilayerNeuralNetworkBase ()
virtual void	PrintSelf (std::ostream &os, Indent indent) const
	~MultilayerNeuralNetworkBase ()
Protected Member Functions inherited from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >
	NeuralNetworkObject ()
virtual	~NeuralNetworkObject ()
Protected Member Functions inherited from itk::DataObject
virtual void	PropagateResetPipeline ()
	DataObject ()
	~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
LayerVectorType	m_Layers
LearningFunctionInterfaceType::Pointer	m_LearningFunction
ValueType	m_LearningRate
WeightVectorType	m_Weights
Protected Attributes inherited from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >

Detailed Description