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

#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 Self > ConstPointer
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< Self > Pointer
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 Member Functions

virtual NetworkOutputType GenerateOutput (TMeasurementVector samplevector)
virtual const ValueType & GetFirstHiddenLayerBias ()
virtual const unsigned int & GetNumOfFirstHiddenNodes ()
virtual const unsigned int & GetNumOfInputNodes ()
virtual const unsigned int & GetNumOfOutputNodes ()
virtual const ValueType & GetOutputLayerBias ()
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)

Protected Member Functions

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

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 ()

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

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

Definition at line 52 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.

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

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

Definition at line 68 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.

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

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

Definition at line 59 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.

template<class TMeasurementVector , class TTargetVector >
typedef Superclass::LayerVectorType itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::LayerVectorType

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

Definition at line 63 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.

template<class TMeasurementVector , class TTargetVector >
typedef Superclass::LearningLayerType itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::LearningLayerType

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

Definition at line 60 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.

template<class TMeasurementVector , class TTargetVector >
typedef Superclass::MeasurementVectorType itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::MeasurementVectorType

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

Definition at line 55 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.

template<class TMeasurementVector , class TTargetVector >
typedef Superclass::NetworkOutputType itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::NetworkOutputType

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

Definition at line 57 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.

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

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

Definition at line 51 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.

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

Standard class typedefs.

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

Definition at line 48 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.

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

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

Definition at line 50 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.

template<class TMeasurementVector , class TTargetVector >
typedef Superclass::TargetVectorType itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::TargetVectorType

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

Definition at line 56 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.

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

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

Definition at line 66 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.

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

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

Definition at line 54 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.

template<class TMeasurementVector , class TTargetVector >
typedef Superclass::WeightVectorType itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::WeightVectorType

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

Definition at line 62 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.

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 ( ) [inline, protected, virtual]

Definition at line 116 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.

Member Function Documentation

template<class TMeasurementVector , class TTargetVector >
virtual::itk::LightObject::Pointer itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::CreateAnother ( void  ) const [virtual]

Method for creation through the object factory.

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

template<class TMeasurementVector , class TTargetVector >
virtual NetworkOutputType itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::GenerateOutput ( TMeasurementVector  samplevector) [virtual]

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

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]

Method for creation through the object factory.

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

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]

Method for creation through the object factory.

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

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

Method to print the object.

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

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]

Definition at line 127 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.

template<class TMeasurementVector , class TTargetVector >
TransferFunctionInterfaceType::Pointer itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_FirstHiddenTransferFunction [private]

Definition at line 132 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.

template<class TMeasurementVector , class TTargetVector >
InputFunctionInterfaceType::Pointer itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_InputFunction [private]

Definition at line 130 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.

template<class TMeasurementVector , class TTargetVector >
TransferFunctionInterfaceType::Pointer itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_InputTransferFunction [private]

Definition at line 131 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.

template<class TMeasurementVector , class TTargetVector >
unsigned int itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_NumOfFirstHiddenNodes [private]

Definition at line 124 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.

template<class TMeasurementVector , class TTargetVector >
unsigned int itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_NumOfInputNodes [private]

Definition at line 123 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.

template<class TMeasurementVector , class TTargetVector >
unsigned int itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_NumOfOutputNodes [private]

Definition at line 125 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.

template<class TMeasurementVector , class TTargetVector >
ValueType itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_OutputLayerBias [private]

Definition at line 128 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.

template<class TMeasurementVector , class TTargetVector >
TransferFunctionInterfaceType::Pointer itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_OutputTransferFunction [private]

Definition at line 133 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.

The documentation for this class was generated from the following file:
Generated on Fri Mar 2 2012 02:09:54 for ITK by doxygen 1.7.6.1