ITK  4.1.0
Insight Segmentation and Registration Toolkit
Public Types | Public Member Functions | Static Public Member Functions | Protected Member Functions | Private Attributes
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 >:

List of all members.

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 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 ()

Private Attributes

ValueType m_LearningRate1
ValueType m_LearningRate2
ValueType m_LearningRate3
vnl_vector< ValueTypem_OutputErrors

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.


Member Typedef Documentation

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

Standard class typedefs.

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

Definition at line 40 of file itkRBFBackPropagationLearningFunction.h.

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

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 ( ) [inline, protected, virtual]

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.

Reimplemented from itk::LightProcessObject.

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

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: