ITK  4.4.0
Insight Segmentation and Registration Toolkit
Public Types | Public Member Functions | Static Public Member Functions | Protected Member Functions | Private Attributes | List of all members
itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector > Class Template Reference

#include <itkRBFBackPropagationLearningFunction.h>

+ Inheritance diagram for itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector >:
+ Collaboration diagram for itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector >:

Detailed Description

template<class LayerType, class TTargetVector>
class itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector >

This is the itkRBFBackPropagationLearningFunction class.

Definition at line 36 of file itkRBFBackPropagationLearningFunction.h.

Public Types

typedef SmartPointer< const SelfConstPointer
 
typedef
LayerType::LayerInterfaceType 
LayerInterfaceType
 
typedef SmartPointer< SelfPointer
 
typedef
RBFBackPropagationLearningFunction 
Self
 
typedef LearningFunctionBase
< LayerType, TTargetVector > 
Superclass
 
typedef Superclass::ValueType ValueType
 
- Public Types inherited from itk::Statistics::LearningFunctionBase< LayerType, TTargetVector >
typedef SmartPointer< const SelfConstPointer
 
typedef SmartPointer< SelfPointer
 
typedef LearningFunctionBase Self
 
typedef LightProcessObject Superclass
 
typedef LayerType::ValueType ValueType
 
- Public Types inherited from itk::LightProcessObject
typedef SmartPointer< const SelfConstPointer
 
typedef SmartPointer< SelfPointer
 
typedef LightProcessObject 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 ::itk::LightObject::Pointer CreateAnother (void) const
 
virtual ValueType GetLearningRate1 ()
 
virtual ValueType GetLearningRate2 ()
 
virtual ValueType GetLearningRate3 ()
 
virtual const char * GetNameOfClass () const
 
virtual void Learn (LayerType *layer, ValueType learningrate)
 
virtual void Learn (LayerType *layer, TTargetVector error, ValueType learningrate)
 
virtual void SetLearningRate1 (ValueType _arg)
 
virtual void SetLearningRate2 (ValueType _arg)
 
virtual void SetLearningRate3 (ValueType _arg)
 

Static Public Member Functions

static Pointer New ()
 

Protected Member Functions

virtual void PrintSelf (std::ostream &os, Indent indent) const
 
 RBFBackPropagationLearningFunction ()
 
virtual ~RBFBackPropagationLearningFunction ()
 
- Protected Member Functions inherited from itk::Statistics::LearningFunctionBase< LayerType, TTargetVector >
 LearningFunctionBase ()
 
 ~LearningFunctionBase ()
 
- Protected Member Functions inherited from itk::LightProcessObject
virtual void GenerateData ()
 
 LightProcessObject ()
 
 ~LightProcessObject ()
 
- 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_LearningRate1
 
ValueType m_LearningRate2
 
ValueType m_LearningRate3
 
vnl_vector< ValueTypem_OutputErrors
 

Additional Inherited Members

- Protected Types inherited from itk::LightObject
typedef int InternalReferenceCountType
 
- Protected Attributes inherited from itk::LightObject
InternalReferenceCountType m_ReferenceCount
 
SimpleFastMutexLock m_ReferenceCountLock
 

Member Typedef Documentation

template<class LayerType , class TTargetVector >
typedef SmartPointer<const Self> itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector >::ConstPointer

Definition at line 43 of file itkRBFBackPropagationLearningFunction.h.

template<class LayerType , class TTargetVector >
typedef LayerType::LayerInterfaceType itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector >::LayerInterfaceType

Definition at line 45 of file itkRBFBackPropagationLearningFunction.h.

template<class LayerType , class TTargetVector >
typedef SmartPointer<Self> itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector >::Pointer

Definition at line 42 of file itkRBFBackPropagationLearningFunction.h.

template<class LayerType , class TTargetVector >
typedef RBFBackPropagationLearningFunction itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector >::Self

Definition at line 40 of file itkRBFBackPropagationLearningFunction.h.

template<class LayerType , class TTargetVector >
typedef LearningFunctionBase<LayerType, TTargetVector> itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector >::Superclass

Definition at line 41 of file itkRBFBackPropagationLearningFunction.h.

template<class LayerType , class TTargetVector >
typedef Superclass::ValueType itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector >::ValueType

Definition at line 50 of file itkRBFBackPropagationLearningFunction.h.

Constructor & Destructor Documentation

template<class LayerType , class TTargetVector >
itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector >::RBFBackPropagationLearningFunction ( )
protected
template<class LayerType , class TTargetVector >
virtual itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector >::~RBFBackPropagationLearningFunction ( )
inlineprotectedvirtual

Definition at line 67 of file itkRBFBackPropagationLearningFunction.h.

Member Function Documentation

template<class LayerType , class TTargetVector >
virtual::itk::LightObject::Pointer itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector >::CreateAnother ( void  ) const
virtual

Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.

Reimplemented from itk::LightProcessObject.

template<class LayerType , class TTargetVector >
virtual ValueType itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector >::GetLearningRate1 ( )
virtual
template<class LayerType , class TTargetVector >
virtual ValueType itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector >::GetLearningRate2 ( )
virtual
template<class LayerType , class TTargetVector >
virtual ValueType itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector >::GetLearningRate3 ( )
virtual
template<class LayerType , class TTargetVector >
virtual const char* itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector >::GetNameOfClass ( ) const
virtual

Method for creation through the object factory.

Reimplemented from itk::Statistics::LearningFunctionBase< LayerType, TTargetVector >.

template<class LayerType , class TTargetVector >
virtual void itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector >::Learn ( LayerType *  layer,
ValueType  learningrate 
)
virtual
template<class LayerType , class TTargetVector >
virtual void itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector >::Learn ( LayerType *  layer,
TTargetVector  error,
ValueType  learningrate 
)
virtual
template<class LayerType , class TTargetVector >
static Pointer itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector >::New ( )
static

Method for creation through the object factory.

template<class LayerType , class TTargetVector >
virtual void itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const
protectedvirtual

Method to print the object.

Reimplemented from itk::Statistics::LearningFunctionBase< LayerType, TTargetVector >.

template<class LayerType , class TTargetVector >
virtual void itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector >::SetLearningRate1 ( ValueType  _arg)
virtual
template<class LayerType , class TTargetVector >
virtual void itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector >::SetLearningRate2 ( ValueType  _arg)
virtual
template<class LayerType , class TTargetVector >
virtual void itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector >::SetLearningRate3 ( ValueType  _arg)
virtual

Member Data Documentation

template<class LayerType , class TTargetVector >
ValueType itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector >::m_LearningRate1
private

Definition at line 74 of file itkRBFBackPropagationLearningFunction.h.

template<class LayerType , class TTargetVector >
ValueType itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector >::m_LearningRate2
private

Definition at line 75 of file itkRBFBackPropagationLearningFunction.h.

template<class LayerType , class TTargetVector >
ValueType itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector >::m_LearningRate3
private

Definition at line 76 of file itkRBFBackPropagationLearningFunction.h.

template<class LayerType , class TTargetVector >
vnl_vector<ValueType> itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector >::m_OutputErrors
private

Definition at line 77 of file itkRBFBackPropagationLearningFunction.h.


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