ITK  4.1.0
Insight Segmentation and Registration Toolkit
Public Types | Public Member Functions | Static Public Member Functions | Protected Member Functions | Protected Attributes
itk::Statistics::ErrorBackPropagationLearningWithMomentum< LayerType, TTargetVector > Class Template Reference

#include <itkErrorBackPropagationLearningWithMomentum.h>

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

List of all members.

Public Types

typedef SmartPointer< const SelfConstPointer
typedef
LayerType::LayerInterfaceType 
LayerInterfaceType
typedef SmartPointer< SelfPointer
typedef
ErrorBackPropagationLearningWithMomentum 
Self
typedef LearningFunctionBase
< typename
LayerType::LayerInterfaceType,
TTargetVector > 
Superclass
typedef Superclass::ValueType ValueType

Public Member Functions

virtual ::itk::LightObject::Pointer CreateAnother (void) const
virtual const char * GetNameOfClass () const
virtual void Learn (LayerInterfaceType *layer, ValueType learningrate)
virtual void Learn (LayerInterfaceType *layer, TTargetVector errors, ValueType learningrate)

Static Public Member Functions

static Pointer New ()

Protected Member Functions

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

Protected Attributes

ValueType m_Momentum

Detailed Description

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

The ErrorBackPropagationLearningWithMomentum 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 42 of file itkErrorBackPropagationLearningWithMomentum.h.


Member Typedef Documentation

template<class LayerType , class TTargetVector >
typedef SmartPointer<const Self> itk::Statistics::ErrorBackPropagationLearningWithMomentum< LayerType, TTargetVector >::ConstPointer
template<class LayerType , class TTargetVector >
typedef LayerType::LayerInterfaceType itk::Statistics::ErrorBackPropagationLearningWithMomentum< LayerType, TTargetVector >::LayerInterfaceType
template<class LayerType , class TTargetVector >
typedef SmartPointer<Self> itk::Statistics::ErrorBackPropagationLearningWithMomentum< LayerType, TTargetVector >::Pointer
template<class LayerType , class TTargetVector >
typedef ErrorBackPropagationLearningWithMomentum itk::Statistics::ErrorBackPropagationLearningWithMomentum< LayerType, TTargetVector >::Self
template<class LayerType , class TTargetVector >
typedef LearningFunctionBase<typename LayerType::LayerInterfaceType, TTargetVector> itk::Statistics::ErrorBackPropagationLearningWithMomentum< LayerType, TTargetVector >::Superclass
template<class LayerType , class TTargetVector >
typedef Superclass::ValueType itk::Statistics::ErrorBackPropagationLearningWithMomentum< LayerType, TTargetVector >::ValueType

Constructor & Destructor Documentation

template<class LayerType , class TTargetVector >
itk::Statistics::ErrorBackPropagationLearningWithMomentum< LayerType, TTargetVector >::ErrorBackPropagationLearningWithMomentum ( ) [protected]
template<class LayerType , class TTargetVector >
virtual itk::Statistics::ErrorBackPropagationLearningWithMomentum< LayerType, TTargetVector >::~ErrorBackPropagationLearningWithMomentum ( ) [inline, protected, virtual]

Member Function Documentation

template<class LayerType , class TTargetVector >
virtual::itk::LightObject::Pointer itk::Statistics::ErrorBackPropagationLearningWithMomentum< 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 char* itk::Statistics::ErrorBackPropagationLearningWithMomentum< LayerType, TTargetVector >::GetNameOfClass ( ) const [virtual]

Method for creation through the object factory.

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

template<class LayerType , class TTargetVector >
virtual void itk::Statistics::ErrorBackPropagationLearningWithMomentum< LayerType, TTargetVector >::Learn ( LayerInterfaceType layer,
ValueType  learningrate 
) [virtual]
template<class LayerType , class TTargetVector >
virtual void itk::Statistics::ErrorBackPropagationLearningWithMomentum< LayerType, TTargetVector >::Learn ( LayerInterfaceType layer,
TTargetVector  errors,
ValueType  learningrate 
) [virtual]
template<class LayerType , class TTargetVector >
static Pointer itk::Statistics::ErrorBackPropagationLearningWithMomentum< LayerType, TTargetVector >::New ( ) [static]

Method for creation through the object factory.

Reimplemented from itk::LightProcessObject.

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

Member Data Documentation

template<class LayerType , class TTargetVector >
ValueType itk::Statistics::ErrorBackPropagationLearningWithMomentum< LayerType, TTargetVector >::m_Momentum [protected]

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