itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TOutput > Class Template Reference

#include <itkRBFBackPropagationLearningFunction.h>

Inheritance diagram for itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TOutput >:

[legend]Collaboration diagram for itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TOutput >:

[legend]List of all members.

Public Types
typedef RBFBackPropagationLearningFunction	Self
typedef LearningFunctionBase< LayerType, TOutput >	Superclass
typedef SmartPointer< Self >	Pointer
typedef SmartPointer< const Self >	ConstPointer
typedef Superclass::ValueType	ValueType
Public Member Functions
virtual const char *	GetNameOfClass () const
void	Learn (LayerType *layer, ValueType learningrate)
void	Learn (LayerType *layer, TOutput error, ValueType learningrate)
virtual void	SetLearningRate1 (ValueType _arg)
virtual ValueType	GetLearningRate1 ()
virtual void	SetLearningRate2 (ValueType _arg)
virtual ValueType	GetLearningRate2 ()
virtual void	SetLearningRate3 (ValueType _arg)
virtual ValueType	GetLearningRate3 ()
Static Public Member Functions
Pointer	New ()
Protected Member Functions
	RBFBackPropagationLearningFunction ()
	~RBFBackPropagationLearningFunction ()
virtual void	PrintSelf (std::ostream &os, Indent indent) const

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

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Member Typedef Documentation

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

Reimplemented from itk::Statistics::LearningFunctionBase< LayerType, TOutput >. Definition at line 40 of file itkRBFBackPropagationLearningFunction.h.

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

Reimplemented from itk::Statistics::LearningFunctionBase< LayerType, TOutput >. Definition at line 39 of file itkRBFBackPropagationLearningFunction.h.

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

Standard class typedefs. Reimplemented from itk::Statistics::LearningFunctionBase< LayerType, TOutput >. Definition at line 37 of file itkRBFBackPropagationLearningFunction.h.

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

Reimplemented from itk::Statistics::LearningFunctionBase< LayerType, TOutput >. Definition at line 38 of file itkRBFBackPropagationLearningFunction.h.

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

Reimplemented from itk::Statistics::LearningFunctionBase< LayerType, TOutput >. Definition at line 48 of file itkRBFBackPropagationLearningFunction.h.

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Constructor & Destructor Documentation

template<class LayerType, class TOutput> itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TOutput >::RBFBackPropagationLearningFunction (   )  [protected]

template<class LayerType, class TOutput> itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TOutput >::~RBFBackPropagationLearningFunction (   )  [inline, protected]

Definition at line 64 of file itkRBFBackPropagationLearningFunction.h.

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Member Function Documentation

template<class LayerType, class TOutput> virtual ValueType itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TOutput >::GetLearningRate1 (   )  [virtual]

template<class LayerType, class TOutput> virtual ValueType itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TOutput >::GetLearningRate2 (   )  [virtual]

template<class LayerType, class TOutput> virtual ValueType itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TOutput >::GetLearningRate3 (   )  [virtual]

template<class LayerType, class TOutput> virtual const char* itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TOutput >::GetNameOfClass (   )  const [virtual]

Method for creation through the object factory. Reimplemented from itk::Statistics::LearningFunctionBase< LayerType, TOutput >.

template<class LayerType, class TOutput> void itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TOutput >::Learn (  LayerType *  layer, TOutput  error, ValueType  learningrate )  [virtual]

Implements itk::Statistics::LearningFunctionBase< LayerType, TOutput >.

template<class LayerType, class TOutput> void itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TOutput >::Learn (  LayerType *  layer, ValueType  learningrate )  [virtual]

Implements itk::Statistics::LearningFunctionBase< LayerType, TOutput >.

template<class LayerType, class TOutput> Pointer itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TOutput >::New (   )  [static]

Method for creation through the object factory. Reimplemented from itk::LightProcessObject.

template<class LayerType, class TOutput> virtual void itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TOutput >::PrintSelf (  std::ostream &  os, Indent  indent )  const [protected, virtual]

Method to print the object. Reimplemented from itk::Statistics::LearningFunctionBase< LayerType, TOutput >.

template<class LayerType, class TOutput> virtual void itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TOutput >::SetLearningRate1 (  ValueType  _arg  )  [virtual]

template<class LayerType, class TOutput> virtual void itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TOutput >::SetLearningRate2 (  ValueType  _arg  )  [virtual]

template<class LayerType, class TOutput> virtual void itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TOutput >::SetLearningRate3 (  ValueType  _arg  )  [virtual]

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

• itkRBFBackPropagationLearningFunction.h

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