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

#include <itkBackPropagationLayer.h>

+ Inheritance diagram for itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >:
+ Collaboration diagram for itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >:

List of all members.

Public Types

typedef SmartPointer< const SelfConstPointer
typedef
Superclass::InputFunctionInterfaceType 
InputFunctionInterfaceType
typedef
Superclass::InternalVectorType 
InternalVectorType
typedef
Superclass::LayerInterfaceType 
LayerInterfaceType
typedef vnl_vector< ValueTypeNodeVectorType
typedef
Superclass::OutputVectorType 
OutputVectorType
typedef SmartPointer< SelfPointer
typedef BackPropagationLayer Self
typedef LayerBase
< TMeasurementVector,
TTargetVector > 
Superclass
typedef
Superclass::TransferFunctionInterfaceType 
TransferFunctionInterfaceType
typedef Superclass::ValueType ValueType
typedef
Superclass::WeightSetInterfaceType 
WeightSetInterfaceType
typedef
CompletelyConnectedWeightSet
< TMeasurementVector,
TTargetVector > 
WeightSetType

Public Member Functions

virtual ValueType Activation (ValueType)
virtual void BackwardPropagate ()
virtual void BackwardPropagate (InternalVectorType errors)
virtual ValueType DActivation (ValueType)
virtual void ForwardPropagate ()
virtual void ForwardPropagate (TMeasurementVector input)
virtual ValueType GetInputErrorValue (unsigned int node_id) const
virtual ValueTypeGetInputErrorVector ()
virtual ValueType GetInputValue (unsigned int i) const
virtual ValueType GetOutputErrorValue (unsigned int node_id) const
virtual ValueType GetOutputValue (unsigned int) const
virtual ValueTypeGetOutputVector ()
virtual void SetInputErrorValue (ValueType, unsigned int node_id)
virtual void SetInputValue (unsigned int i, ValueType value)
virtual void SetNumberOfNodes (unsigned int numNodes)
virtual void SetOutputErrorValues (TTargetVector)
virtual void SetOutputValue (unsigned int, ValueType)
void SetOutputVector (TMeasurementVector value)
virtual void SetBias (ValueType _arg)
virtual const ValueTypeGetBias ()

Protected Member Functions

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

Private Attributes

ValueType m_Bias
NodeVectorType m_InputErrorValues
NodeVectorType m_NodeInputValues
NodeVectorType m_NodeOutputValues
NodeVectorType m_OutputErrorValues
virtual const char * GetNameOfClass () const
virtual ::itk::LightObject::Pointer CreateAnother (void) const
static Pointer New ()

Detailed Description

template<class TMeasurementVector, class TTargetVector>
class itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >

This is the itkBackPropagationLayer class.

Definition at line 37 of file itkBackPropagationLayer.h.


Member Typedef Documentation

template<class TMeasurementVector , class TTargetVector >
typedef SmartPointer<const Self> itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::ConstPointer
template<class TMeasurementVector , class TTargetVector >
typedef Superclass::InputFunctionInterfaceType itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::InputFunctionInterfaceType
template<class TMeasurementVector , class TTargetVector >
typedef Superclass::InternalVectorType itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::InternalVectorType
template<class TMeasurementVector , class TTargetVector >
typedef Superclass::LayerInterfaceType itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::LayerInterfaceType
template<class TMeasurementVector , class TTargetVector >
typedef vnl_vector<ValueType> itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::NodeVectorType
template<class TMeasurementVector , class TTargetVector >
typedef Superclass::OutputVectorType itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::OutputVectorType
template<class TMeasurementVector , class TTargetVector >
typedef SmartPointer<Self> itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::Pointer
template<class TMeasurementVector , class TTargetVector >
typedef BackPropagationLayer itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::Self

Standard class typedefs.

Reimplemented from itk::Statistics::LayerBase< TMeasurementVector, TTargetVector >.

Definition at line 40 of file itkBackPropagationLayer.h.

template<class TMeasurementVector , class TTargetVector >
typedef LayerBase<TMeasurementVector, TTargetVector> itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::Superclass
template<class TMeasurementVector , class TTargetVector >
typedef Superclass::TransferFunctionInterfaceType itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::TransferFunctionInterfaceType
template<class TMeasurementVector , class TTargetVector >
typedef Superclass::ValueType itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::ValueType
template<class TMeasurementVector , class TTargetVector >
typedef Superclass::WeightSetInterfaceType itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::WeightSetInterfaceType
template<class TMeasurementVector , class TTargetVector >
typedef CompletelyConnectedWeightSet<TMeasurementVector,TTargetVector> itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::WeightSetType

Constructor & Destructor Documentation

template<class TMeasurementVector , class TTargetVector >
itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::BackPropagationLayer ( ) [protected]
template<class TMeasurementVector , class TTargetVector >
virtual itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::~BackPropagationLayer ( ) [protected, virtual]

Member Function Documentation

template<class TMeasurementVector , class TTargetVector >
virtual ValueType itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::Activation ( ValueType  ) [virtual]
template<class TMeasurementVector , class TTargetVector >
virtual void itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::BackwardPropagate ( ) [virtual]
template<class TMeasurementVector , class TTargetVector >
virtual void itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::BackwardPropagate ( InternalVectorType  errors) [virtual]
template<class TMeasurementVector , class TTargetVector >
virtual::itk::LightObject::Pointer itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::CreateAnother ( void  ) const [virtual]

Method for creation through the object factory.

Reimplemented from itk::LightProcessObject.

template<class TMeasurementVector , class TTargetVector >
virtual ValueType itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::DActivation ( ValueType  ) [virtual]
template<class TMeasurementVector , class TTargetVector >
virtual void itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::ForwardPropagate ( ) [virtual]
template<class TMeasurementVector , class TTargetVector >
virtual void itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::ForwardPropagate ( TMeasurementVector  input) [virtual]
template<class TMeasurementVector , class TTargetVector >
virtual const ValueType& itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::GetBias ( ) [virtual]

Set/Get the bias

template<class TMeasurementVector , class TTargetVector >
virtual ValueType itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::GetInputErrorValue ( unsigned int  node_id) const [virtual]
template<class TMeasurementVector , class TTargetVector >
virtual ValueType* itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::GetInputErrorVector ( ) [virtual]
template<class TMeasurementVector , class TTargetVector >
virtual ValueType itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::GetInputValue ( unsigned int  i) const [virtual]
template<class TMeasurementVector , class TTargetVector >
virtual const char* itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::GetNameOfClass ( ) const [virtual]

Method for creation through the object factory.

Reimplemented from itk::Statistics::LayerBase< TMeasurementVector, TTargetVector >.

template<class TMeasurementVector , class TTargetVector >
virtual ValueType itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::GetOutputErrorValue ( unsigned int  node_id) const [virtual]
template<class TMeasurementVector , class TTargetVector >
virtual ValueType itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::GetOutputValue ( unsigned  int) const [virtual]
template<class TMeasurementVector , class TTargetVector >
virtual ValueType* itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::GetOutputVector ( ) [virtual]
template<class TMeasurementVector , class TTargetVector >
static Pointer itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::New ( ) [static]

Method for creation through the object factory.

Reimplemented from itk::LightProcessObject.

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

Method to print the object.

Reimplemented from itk::Statistics::LayerBase< TMeasurementVector, TTargetVector >.

template<class TMeasurementVector , class TTargetVector >
virtual void itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::SetBias ( ValueType  _arg) [virtual]

Set/Get the bias

template<class TMeasurementVector , class TTargetVector >
virtual void itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::SetInputErrorValue ( ValueType  ,
unsigned int  node_id 
) [virtual]
template<class TMeasurementVector , class TTargetVector >
virtual void itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::SetInputValue ( unsigned int  i,
ValueType  value 
) [virtual]
template<class TMeasurementVector , class TTargetVector >
virtual void itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::SetNumberOfNodes ( unsigned int  numNodes) [virtual]
template<class TMeasurementVector , class TTargetVector >
virtual void itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::SetOutputErrorValues ( TTargetVector  ) [virtual]
template<class TMeasurementVector , class TTargetVector >
virtual void itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::SetOutputValue ( unsigned  int,
ValueType   
) [virtual]
template<class TMeasurementVector , class TTargetVector >
void itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::SetOutputVector ( TMeasurementVector  value)

Member Data Documentation

template<class TMeasurementVector , class TTargetVector >
ValueType itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::m_Bias [private]

Definition at line 109 of file itkBackPropagationLayer.h.

template<class TMeasurementVector , class TTargetVector >
NodeVectorType itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::m_InputErrorValues [private]

Definition at line 107 of file itkBackPropagationLayer.h.

template<class TMeasurementVector , class TTargetVector >
NodeVectorType itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::m_NodeInputValues [private]

Definition at line 105 of file itkBackPropagationLayer.h.

template<class TMeasurementVector , class TTargetVector >
NodeVectorType itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::m_NodeOutputValues [private]

Definition at line 106 of file itkBackPropagationLayer.h.

template<class TMeasurementVector , class TTargetVector >
NodeVectorType itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::m_OutputErrorValues [private]

Definition at line 108 of file itkBackPropagationLayer.h.


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