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
Module ITKNeuralNetworks

#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 Self > ConstPointer
typedef
Superclass::InputFunctionInterfaceType 		InputFunctionInterfaceType
typedef
Superclass::InternalVectorType 		InternalVectorType
typedef
Superclass::LayerInterfaceType 		LayerInterfaceType
typedef vnl_vector< ValueType > NodeVectorType
typedef
Superclass::OutputVectorType 		OutputVectorType
typedef SmartPointer< Self > Pointer
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 ValueType * GetInputErrorVector ()
virtual ValueType GetInputValue (unsigned int i) const
virtual ValueType GetOutputErrorValue (unsigned int node_id) const
virtual ValueType GetOutputValue (unsigned int) const
virtual ValueType * GetOutputVector ()
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 ValueType & GetBias ()

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

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

Definition at line 43 of file itkBackPropagationLayer.h.

template<class TMeasurementVector , class TTargetVector >
typedef Superclass::InputFunctionInterfaceType itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::InputFunctionInterfaceType

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

Definition at line 60 of file itkBackPropagationLayer.h.

template<class TMeasurementVector , class TTargetVector >
typedef Superclass::InternalVectorType itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::InternalVectorType

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

Definition at line 52 of file itkBackPropagationLayer.h.

template<class TMeasurementVector , class TTargetVector >
typedef Superclass::LayerInterfaceType itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::LayerInterfaceType

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

Definition at line 54 of file itkBackPropagationLayer.h.

template<class TMeasurementVector , class TTargetVector >
typedef vnl_vector<ValueType> itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::NodeVectorType

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

Definition at line 51 of file itkBackPropagationLayer.h.

template<class TMeasurementVector , class TTargetVector >
typedef Superclass::OutputVectorType itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::OutputVectorType

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

Definition at line 53 of file itkBackPropagationLayer.h.

template<class TMeasurementVector , class TTargetVector >
typedef SmartPointer<Self> itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::Pointer

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

Definition at line 42 of file itkBackPropagationLayer.h.

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

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

Definition at line 41 of file itkBackPropagationLayer.h.

template<class TMeasurementVector , class TTargetVector >
typedef Superclass::TransferFunctionInterfaceType itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::TransferFunctionInterfaceType

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

Definition at line 62 of file itkBackPropagationLayer.h.

template<class TMeasurementVector , class TTargetVector >
typedef Superclass::ValueType itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::ValueType

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

Definition at line 47 of file itkBackPropagationLayer.h.

template<class TMeasurementVector , class TTargetVector >
typedef Superclass::WeightSetInterfaceType itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::WeightSetInterfaceType

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

Definition at line 58 of file itkBackPropagationLayer.h.

template<class TMeasurementVector , class TTargetVector >
typedef CompletelyConnectedWeightSet<TMeasurementVector,TTargetVector> itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::WeightSetType

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

Definition at line 56 of file itkBackPropagationLayer.h.

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]

Implements itk::Statistics::LayerBase< TMeasurementVector, TTargetVector >.

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

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

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]

Implements itk::Statistics::LayerBase< TMeasurementVector, TTargetVector >.

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

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

template<class TMeasurementVector , class TTargetVector >
virtual void itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::ForwardPropagate ( TMeasurementVector  input) [virtual]

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

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]

Implements itk::Statistics::LayerBase< TMeasurementVector, TTargetVector >.

template<class TMeasurementVector , class TTargetVector >
virtual ValueType* itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::GetInputErrorVector ( ) [virtual]

Implements itk::Statistics::LayerBase< TMeasurementVector, TTargetVector >.

template<class TMeasurementVector , class TTargetVector >
virtual ValueType itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::GetInputValue ( unsigned int  i) const [virtual]

Implements itk::Statistics::LayerBase< TMeasurementVector, TTargetVector >.

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]

Implements itk::Statistics::LayerBase< TMeasurementVector, TTargetVector >.

template<class TMeasurementVector , class TTargetVector >
virtual ValueType itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::GetOutputValue ( unsigned  int) const [virtual]

Implements itk::Statistics::LayerBase< TMeasurementVector, TTargetVector >.

template<class TMeasurementVector , class TTargetVector >
virtual ValueType* itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >::GetOutputVector ( ) [virtual]

Implements itk::Statistics::LayerBase< TMeasurementVector, TTargetVector >.

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]

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

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]

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

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

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

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:
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