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

#include <itkQuickPropLearningRule.h>

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

Detailed Description

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

The QuickPropLearningRule is the base class for all the ErrorBackPropagationLearning strategies.

ErrorBackPropagationLearning strategies include error back propagation, bp+momentum, conjugte gradient descent, and quick prop.

This class specifies how the errors are backpropagated for a layer. They take a LayerBase object as input and compute the input for the layers input weightset.

Definition at line 43 of file itkQuickPropLearningRule.h.

Public Types

typedef SmartPointer< const SelfConstPointer
 
typedef SmartPointer< SelfPointer
 
typedef QuickPropLearningRule 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 const ValueTypeGetDecay ()
 
virtual const ValueTypeGetMax_Growth_Factor ()
 
virtual const char * GetNameOfClass () const
 
virtual void Learn (LayerType *layer, ValueType learningrate)
 
virtual void Learn (LayerType *layer, TTargetVector errors, ValueType learningrate)
 
virtual void SetDecay (ValueType _arg)
 
virtual void SetMax_Growth_Factor (ValueType _arg)
 

Static Public Member Functions

static Pointer New ()
 

Protected Member Functions

virtual void PrintSelf (std::ostream &os, Indent indent) const
 
 QuickPropLearningRule ()
 
virtual ~QuickPropLearningRule ()
 
- 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 ()
 

Protected Attributes

ValueType m_Decay
 
ValueType m_Epsilon
 
ValueType m_Max_Growth_Factor
 
ValueType m_Momentum
 
ValueType m_SigmoidPrimeOffset
 
ValueType m_SplitEpsilon
 
ValueType m_Threshold
 

Additional Inherited Members

- Protected Types inherited from itk::LightObject
typedef int InternalReferenceCountType
 

Member Typedef Documentation

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

Definition at line 50 of file itkQuickPropLearningRule.h.

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

Definition at line 49 of file itkQuickPropLearningRule.h.

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

Definition at line 47 of file itkQuickPropLearningRule.h.

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

Definition at line 48 of file itkQuickPropLearningRule.h.

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

Definition at line 56 of file itkQuickPropLearningRule.h.

Constructor & Destructor Documentation

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

Definition at line 70 of file itkQuickPropLearningRule.h.

Member Function Documentation

template<class LayerType , class TTargetVector >
virtual::itk::LightObject::Pointer itk::Statistics::QuickPropLearningRule< 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 const ValueType& itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >::GetDecay ( )
virtual
template<class LayerType , class TTargetVector >
virtual const ValueType& itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >::GetMax_Growth_Factor ( )
virtual
template<class LayerType , class TTargetVector >
virtual const char* itk::Statistics::QuickPropLearningRule< 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::QuickPropLearningRule< LayerType, TTargetVector >::Learn ( LayerType *  layer,
ValueType  learningrate 
)
virtual
template<class LayerType , class TTargetVector >
virtual void itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >::Learn ( LayerType *  layer,
TTargetVector  errors,
ValueType  learningrate 
)
virtual
template<class LayerType , class TTargetVector >
static Pointer itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >::New ( )
static

Method for creation through the object factory.

template<class LayerType , class TTargetVector >
virtual void itk::Statistics::QuickPropLearningRule< 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::QuickPropLearningRule< LayerType, TTargetVector >::SetDecay ( ValueType  _arg)
virtual
template<class LayerType , class TTargetVector >
virtual void itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >::SetMax_Growth_Factor ( ValueType  _arg)
virtual

Member Data Documentation

template<class LayerType , class TTargetVector >
ValueType itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >::m_Decay
protected

Definition at line 74 of file itkQuickPropLearningRule.h.

template<class LayerType , class TTargetVector >
ValueType itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >::m_Epsilon
protected

Definition at line 76 of file itkQuickPropLearningRule.h.

template<class LayerType , class TTargetVector >
ValueType itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >::m_Max_Growth_Factor
protected

Definition at line 73 of file itkQuickPropLearningRule.h.

template<class LayerType , class TTargetVector >
ValueType itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >::m_Momentum
protected

Definition at line 70 of file itkQuickPropLearningRule.h.

template<class LayerType , class TTargetVector >
ValueType itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >::m_SigmoidPrimeOffset
protected

Definition at line 77 of file itkQuickPropLearningRule.h.

template<class LayerType , class TTargetVector >
ValueType itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >::m_SplitEpsilon
protected

Definition at line 78 of file itkQuickPropLearningRule.h.

template<class LayerType , class TTargetVector >
ValueType itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >::m_Threshold
protected

Definition at line 75 of file itkQuickPropLearningRule.h.


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