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

#include <itkQuickPropLearningRule.h>

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

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

[legend]List of all members.

Public Types
typedef QuickPropLearningRule	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 errors, ValueType learningrate)
virtual void	SetMax_Growth_Factor (ValueType _arg)
virtual const ValueType &	GetMax_Growth_Factor ()
virtual void	SetDecay (ValueType _arg)
virtual const ValueType &	GetDecay ()
Static Public Member Functions
Pointer	New ()
Protected Member Functions
	QuickPropLearningRule ()
	~QuickPropLearningRule ()
virtual void	PrintSelf (std::ostream &os, Indent indent) const
Protected Attributes
ValueType	m_Momentum
ValueType	m_Max_Growth_Factor
ValueType	m_Decay
ValueType	m_Threshold
ValueType	m_Epsilon
ValueType	m_SigmoidPrimeOffset
ValueType	m_SplitEpsilon

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

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Member Typedef Documentation

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

Reimplemented from itk::Statistics::LearningFunctionBase< LayerType, TOutput >. Definition at line 45 of file itkQuickPropLearningRule.h.

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

Reimplemented from itk::Statistics::LearningFunctionBase< LayerType, TOutput >. Definition at line 44 of file itkQuickPropLearningRule.h.

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

Standard class typedefs. Reimplemented from itk::Statistics::LearningFunctionBase< LayerType, TOutput >. Definition at line 42 of file itkQuickPropLearningRule.h.

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

Reimplemented from itk::Statistics::LearningFunctionBase< LayerType, TOutput >. Definition at line 43 of file itkQuickPropLearningRule.h.

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

Reimplemented from itk::Statistics::LearningFunctionBase< LayerType, TOutput >. Definition at line 53 of file itkQuickPropLearningRule.h.

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Constructor & Destructor Documentation

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

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

Definition at line 66 of file itkQuickPropLearningRule.h.

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Member Function Documentation

template<class LayerType, class TOutput> virtual const ValueType& itk::Statistics::QuickPropLearningRule< LayerType, TOutput >::GetDecay (   )  [virtual]

template<class LayerType, class TOutput> virtual const ValueType& itk::Statistics::QuickPropLearningRule< LayerType, TOutput >::GetMax_Growth_Factor (   )  [virtual]

template<class LayerType, class TOutput> virtual const char* itk::Statistics::QuickPropLearningRule< 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::QuickPropLearningRule< LayerType, TOutput >::Learn (  LayerType *  layer, TOutput  errors, ValueType  learningrate )  [virtual]

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

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

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

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

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

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

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

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Member Data Documentation

template<class LayerType, class TOutput> ValueType itk::Statistics::QuickPropLearningRule< LayerType, TOutput >::m_Decay [protected]

Definition at line 70 of file itkQuickPropLearningRule.h.

template<class LayerType, class TOutput> ValueType itk::Statistics::QuickPropLearningRule< LayerType, TOutput >::m_Epsilon [protected]

Definition at line 72 of file itkQuickPropLearningRule.h.

template<class LayerType, class TOutput> ValueType itk::Statistics::QuickPropLearningRule< LayerType, TOutput >::m_Max_Growth_Factor [protected]

Definition at line 69 of file itkQuickPropLearningRule.h.

template<class LayerType, class TOutput> ValueType itk::Statistics::QuickPropLearningRule< LayerType, TOutput >::m_Momentum [protected]

Definition at line 68 of file itkQuickPropLearningRule.h.

template<class LayerType, class TOutput> ValueType itk::Statistics::QuickPropLearningRule< LayerType, TOutput >::m_SigmoidPrimeOffset [protected]

Definition at line 73 of file itkQuickPropLearningRule.h.

template<class LayerType, class TOutput> ValueType itk::Statistics::QuickPropLearningRule< LayerType, TOutput >::m_SplitEpsilon [protected]

Definition at line 74 of file itkQuickPropLearningRule.h.

template<class LayerType, class TOutput> ValueType itk::Statistics::QuickPropLearningRule< LayerType, TOutput >::m_Threshold [protected]

Definition at line 71 of file itkQuickPropLearningRule.h.

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

• itkQuickPropLearningRule.h

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