ITK  4.2.0
Insight Segmentation and Registration Toolkit
Public Types | Public Member Functions | Protected Member Functions | Private Attributes
itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector > Class Template Reference

#include <itkOneHiddenLayerBackPropagationNeuralNetwork.h>

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

List of all members.

Public Types

typedef SmartPointer< const SelfConstPointer
typedef
Superclass::InputFunctionInterfaceType 
InputFunctionInterfaceType
typedef
Superclass::LayerInterfaceType 
LayerInterfaceType
typedef Superclass::LayerVectorType LayerVectorType
typedef
Superclass::LearningLayerType 
LearningLayerType
typedef
Superclass::MeasurementVectorType 
MeasurementVectorType
typedef
Superclass::NetworkOutputType 
NetworkOutputType
typedef SmartPointer< SelfPointer
typedef
OneHiddenLayerBackPropagationNeuralNetwork 
Self
typedef
MultilayerNeuralNetworkBase
< TMeasurementVector,
TTargetVector,
BackPropagationLayer
< TMeasurementVector,
TTargetVector > > 
Superclass
typedef
Superclass::TargetVectorType 
TargetVectorType
typedef
Superclass::TransferFunctionInterfaceType 
TransferFunctionInterfaceType
typedef Superclass::ValueType ValueType
typedef
Superclass::WeightVectorType 
WeightVectorType
- Public Types inherited from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >
typedef LearningFunctionBase
< typename
BackPropagationLayer
< TMeasurementVector,
TTargetVector >
::LayerInterfaceType,
TTargetVector > 
LearningFunctionInterfaceType
- Public Types inherited from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >
- Public Types inherited from itk::DataObject
typedef std::string DataObjectIdentifierType
typedef std::vector< Pointer >
::size_type 
DataObjectPointerArraySizeType
- Public Types inherited from itk::Object
- Public Types inherited from itk::LightObject

Public Member Functions

virtual NetworkOutputType GenerateOutput (TMeasurementVector samplevector)
virtual const ValueTypeGetFirstHiddenLayerBias ()
virtual const unsigned int & GetNumOfFirstHiddenNodes ()
virtual const unsigned int & GetNumOfInputNodes ()
virtual const unsigned int & GetNumOfOutputNodes ()
virtual const ValueTypeGetOutputLayerBias ()
void Initialize ()
virtual void SetFirstHiddenLayerBias (ValueType _arg)
void SetFirstHiddenTransferFunction (TransferFunctionInterfaceType *f)
void SetInputFunction (InputFunctionInterfaceType *f)
void SetInputTransferFunction (TransferFunctionInterfaceType *f)
virtual void SetNumOfFirstHiddenNodes (unsigned int _arg)
virtual void SetNumOfInputNodes (unsigned int _arg)
virtual void SetNumOfOutputNodes (unsigned int _arg)
virtual void SetOutputLayerBias (ValueType _arg)
void SetOutputTransferFunction (TransferFunctionInterfaceType *f)
- Public Member Functions inherited from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >
void AddLayer (LayerInterfaceType *)
void AddWeightSet (typename LayerInterfaceType::WeightSetInterfaceType *)
virtual void BackwardPropagate (NetworkOutputType errors)
LayerInterfaceTypeGetLayer (int layer_id)
const LayerInterfaceTypeGetLayer (int layer_id) const
int GetNumOfLayers (void) const
int GetNumOfWeightSets (void) const
LayerInterfaceType::WeightSetInterfaceTypeGetWeightSet (unsigned int id)
void InitializeWeights ()
void SetLearningFunction (LearningFunctionInterfaceType *f)
void SetLearningRate (ValueType learningrate)
void SetLearningRule (LearningFunctionInterfaceType *)
virtual void UpdateWeights (ValueType)

Protected Member Functions

 OneHiddenLayerBackPropagationNeuralNetwork ()
virtual void PrintSelf (std::ostream &os, Indent indent) const
virtual ~OneHiddenLayerBackPropagationNeuralNetwork ()
- Protected Member Functions inherited from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >
 MultilayerNeuralNetworkBase ()
 ~MultilayerNeuralNetworkBase ()
- Protected Member Functions inherited from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >
 NeuralNetworkObject ()
virtual ~NeuralNetworkObject ()
- Protected Member Functions inherited from itk::DataObject
virtual void PropagateResetPipeline ()
 DataObject ()
 ~DataObject ()
- Protected Member Functions inherited from itk::Object
 Object ()
bool PrintObservers (std::ostream &os, Indent indent) const
virtual void SetTimeStamp (const TimeStamp &time)
virtual ~Object ()
- Protected Member Functions inherited from itk::LightObject
virtual LightObject::Pointer InternalClone () const
 LightObject ()
virtual void PrintHeader (std::ostream &os, Indent indent) const
virtual void PrintTrailer (std::ostream &os, Indent indent) const
virtual ~LightObject ()

Private Attributes

ValueType m_FirstHiddenLayerBias
TransferFunctionInterfaceType::Pointer m_FirstHiddenTransferFunction
InputFunctionInterfaceType::Pointer m_InputFunction
TransferFunctionInterfaceType::Pointer m_InputTransferFunction
unsigned int m_NumOfFirstHiddenNodes
unsigned int m_NumOfInputNodes
unsigned int m_NumOfOutputNodes
ValueType m_OutputLayerBias
TransferFunctionInterfaceType::Pointer m_OutputTransferFunction
virtual const char * GetNameOfClass () const
virtual ::itk::LightObject::Pointer CreateAnother (void) const
static Pointer New ()

Additional Inherited Members

- Protected Attributes inherited from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >
LayerVectorType m_Layers
LearningFunctionInterfaceType::Pointer m_LearningFunction
ValueType m_LearningRate
WeightVectorType m_Weights
- Protected Attributes inherited from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >

Detailed Description

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

This is the itkOneHiddenLayerBackPropagationNeuralNetwork class.

Definition at line 44 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.


Member Typedef Documentation

template<class TMeasurementVector , class TTargetVector >
typedef SmartPointer<const Self> itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::ConstPointer
template<class TMeasurementVector , class TTargetVector >
typedef Superclass::InputFunctionInterfaceType itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::InputFunctionInterfaceType
template<class TMeasurementVector , class TTargetVector >
typedef Superclass::LayerInterfaceType itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::LayerInterfaceType
template<class TMeasurementVector , class TTargetVector >
typedef Superclass::LayerVectorType itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::LayerVectorType
template<class TMeasurementVector , class TTargetVector >
typedef Superclass::LearningLayerType itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::LearningLayerType
template<class TMeasurementVector , class TTargetVector >
typedef Superclass::MeasurementVectorType itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::MeasurementVectorType
template<class TMeasurementVector , class TTargetVector >
typedef Superclass::NetworkOutputType itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::NetworkOutputType
template<class TMeasurementVector , class TTargetVector >
typedef SmartPointer<Self> itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::Pointer
template<class TMeasurementVector , class TTargetVector >
typedef OneHiddenLayerBackPropagationNeuralNetwork itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::Self
template<class TMeasurementVector , class TTargetVector >
typedef MultilayerNeuralNetworkBase<TMeasurementVector, TTargetVector, BackPropagationLayer<TMeasurementVector, TTargetVector> > itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::Superclass
template<class TMeasurementVector , class TTargetVector >
typedef Superclass::TargetVectorType itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::TargetVectorType
template<class TMeasurementVector , class TTargetVector >
typedef Superclass::TransferFunctionInterfaceType itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::TransferFunctionInterfaceType
template<class TMeasurementVector , class TTargetVector >
typedef Superclass::ValueType itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::ValueType
template<class TMeasurementVector , class TTargetVector >
typedef Superclass::WeightVectorType itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::WeightVectorType

Constructor & Destructor Documentation

template<class TMeasurementVector , class TTargetVector >
itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::OneHiddenLayerBackPropagationNeuralNetwork ( )
protected
template<class TMeasurementVector , class TTargetVector >
virtual itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::~OneHiddenLayerBackPropagationNeuralNetwork ( )
inlineprotectedvirtual

Member Function Documentation

template<class TMeasurementVector , class TTargetVector >
virtual::itk::LightObject::Pointer itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::CreateAnother ( void  ) const
virtual
template<class TMeasurementVector , class TTargetVector >
virtual NetworkOutputType itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::GenerateOutput ( TMeasurementVector  samplevector)
virtual
template<class TMeasurementVector , class TTargetVector >
virtual const ValueType& itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::GetFirstHiddenLayerBias ( )
virtual
template<class TMeasurementVector , class TTargetVector >
virtual const char* itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::GetNameOfClass ( ) const
virtual
template<class TMeasurementVector , class TTargetVector >
virtual const unsigned int& itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::GetNumOfFirstHiddenNodes ( )
virtual
template<class TMeasurementVector , class TTargetVector >
virtual const unsigned int& itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::GetNumOfInputNodes ( )
virtual
template<class TMeasurementVector , class TTargetVector >
virtual const unsigned int& itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::GetNumOfOutputNodes ( )
virtual
template<class TMeasurementVector , class TTargetVector >
virtual const ValueType& itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::GetOutputLayerBias ( )
virtual
template<class TMeasurementVector , class TTargetVector >
void itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::Initialize ( )
virtual

Restore the data object to its initial state. This means releasing memory.

Reimplemented from itk::DataObject.

template<class TMeasurementVector , class TTargetVector >
static Pointer itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::New ( )
static
template<class TMeasurementVector , class TTargetVector >
virtual void itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const
protectedvirtual
template<class TMeasurementVector , class TTargetVector >
virtual void itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::SetFirstHiddenLayerBias ( ValueType  _arg)
virtual
template<class TMeasurementVector , class TTargetVector >
void itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::SetFirstHiddenTransferFunction ( TransferFunctionInterfaceType f)
template<class TMeasurementVector , class TTargetVector >
void itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::SetInputFunction ( InputFunctionInterfaceType f)
template<class TMeasurementVector , class TTargetVector >
void itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::SetInputTransferFunction ( TransferFunctionInterfaceType f)
template<class TMeasurementVector , class TTargetVector >
virtual void itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::SetNumOfFirstHiddenNodes ( unsigned int  _arg)
virtual
template<class TMeasurementVector , class TTargetVector >
virtual void itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::SetNumOfInputNodes ( unsigned int  _arg)
virtual
template<class TMeasurementVector , class TTargetVector >
virtual void itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::SetNumOfOutputNodes ( unsigned int  _arg)
virtual
template<class TMeasurementVector , class TTargetVector >
virtual void itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::SetOutputLayerBias ( ValueType  _arg)
virtual
template<class TMeasurementVector , class TTargetVector >
void itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::SetOutputTransferFunction ( TransferFunctionInterfaceType f)

Member Data Documentation

template<class TMeasurementVector , class TTargetVector >
ValueType itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_FirstHiddenLayerBias
private
template<class TMeasurementVector , class TTargetVector >
TransferFunctionInterfaceType::Pointer itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_FirstHiddenTransferFunction
private
template<class TMeasurementVector , class TTargetVector >
InputFunctionInterfaceType::Pointer itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_InputFunction
private
template<class TMeasurementVector , class TTargetVector >
TransferFunctionInterfaceType::Pointer itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_InputTransferFunction
private
template<class TMeasurementVector , class TTargetVector >
unsigned int itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_NumOfFirstHiddenNodes
private
template<class TMeasurementVector , class TTargetVector >
unsigned int itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_NumOfInputNodes
private
template<class TMeasurementVector , class TTargetVector >
unsigned int itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_NumOfOutputNodes
private
template<class TMeasurementVector , class TTargetVector >
ValueType itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_OutputLayerBias
private
template<class TMeasurementVector , class TTargetVector >
TransferFunctionInterfaceType::Pointer itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_OutputTransferFunction
private

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