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 Self >	ConstPointer
typedef LayerType::LayerInterfaceType	LayerInterfaceType
typedef SmartPointer< Self >	Pointer
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< ValueType >	m_OutputErrors

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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.

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Member Typedef Documentation

template<class LayerType , class TTargetVector >

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

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

Definition at line 43 of file itkRBFBackPropagationLearningFunction.h.

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

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

Definition at line 42 of file itkRBFBackPropagationLearningFunction.h.

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

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

Definition at line 41 of file itkRBFBackPropagationLearningFunction.h.

template<class LayerType , class TTargetVector >

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

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

Definition at line 50 of file itkRBFBackPropagationLearningFunction.h.

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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.

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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]

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

template<class LayerType , class TTargetVector >

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

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

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]

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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.

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

• itkRBFBackPropagationLearningFunction.h