itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector > Class Template Reference

#include <itkTwoHiddenLayerBackPropagationNeuralNetwork.h>

Inheritance diagram for itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >:

Collaboration diagram for itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< 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 TwoHiddenLayerBackPropagationNeuralNetwork	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 unsigned int &	GetNumOfSecondHiddenNodes ()
virtual const ValueType &	GetOutputLayerBias ()
virtual const ValueType &	GetSecondHiddenLayerBias ()
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	SetNumOfSecondHiddenNodes (unsigned int _arg)
virtual void	SetOutputLayerBias (ValueType _arg)
void	SetOutputTransferFunction (TransferFunctionInterfaceType *f)
virtual void	SetSecondHiddenLayerBias (ValueType _arg)
void	SetSecondHiddenTransferFunction (TransferFunctionInterfaceType *f)
Protected Member Functions
virtual void	PrintSelf (std::ostream &os, Indent indent) const
	TwoHiddenLayerBackPropagationNeuralNetwork ()
virtual	~TwoHiddenLayerBackPropagationNeuralNetwork ()
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
unsigned int	m_NumOfSecondHiddenNodes
ValueType	m_OutputLayerBias
TransferFunctionInterfaceType::Pointer	m_OutputTransferFunction
ValueType	m_SecondHiddenLayerBias
TransferFunctionInterfaceType::Pointer	m_SecondHiddenTransferFunction
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::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >

This is the itkTwoHiddenLayerBackPropagationNeuralNetwork class.

Definition at line 44 of file itkTwoHiddenLayerBackPropagationNeuralNetwork.h.

---

Member Typedef Documentation

template<class TMeasurementVector , class TTargetVector >

typedef SmartPointer<const Self> itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::ConstPointer

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

Definition at line 52 of file itkTwoHiddenLayerBackPropagationNeuralNetwork.h.

template<class TMeasurementVector , class TTargetVector >

typedef Superclass::InputFunctionInterfaceType itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::InputFunctionInterfaceType

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

Definition at line 66 of file itkTwoHiddenLayerBackPropagationNeuralNetwork.h.

template<class TMeasurementVector , class TTargetVector >

typedef Superclass::LayerInterfaceType itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::LayerInterfaceType

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

Definition at line 59 of file itkTwoHiddenLayerBackPropagationNeuralNetwork.h.

template<class TMeasurementVector , class TTargetVector >

typedef Superclass::LayerVectorType itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::LayerVectorType

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

Definition at line 63 of file itkTwoHiddenLayerBackPropagationNeuralNetwork.h.

template<class TMeasurementVector , class TTargetVector >

typedef Superclass::LearningLayerType itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::LearningLayerType

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

Definition at line 60 of file itkTwoHiddenLayerBackPropagationNeuralNetwork.h.

template<class TMeasurementVector , class TTargetVector >

typedef Superclass::MeasurementVectorType itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::MeasurementVectorType

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

Definition at line 55 of file itkTwoHiddenLayerBackPropagationNeuralNetwork.h.

template<class TMeasurementVector , class TTargetVector >

typedef Superclass::NetworkOutputType itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::NetworkOutputType

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

Definition at line 57 of file itkTwoHiddenLayerBackPropagationNeuralNetwork.h.

template<class TMeasurementVector , class TTargetVector >

typedef SmartPointer<Self> itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::Pointer

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

Definition at line 51 of file itkTwoHiddenLayerBackPropagationNeuralNetwork.h.

template<class TMeasurementVector , class TTargetVector >

typedef TwoHiddenLayerBackPropagationNeuralNetwork itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::Self

Standard class typedefs.

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

Definition at line 48 of file itkTwoHiddenLayerBackPropagationNeuralNetwork.h.

template<class TMeasurementVector , class TTargetVector >

typedef MultilayerNeuralNetworkBase<TMeasurementVector, TTargetVector, BackPropagationLayer<TMeasurementVector, TTargetVector> > itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::Superclass

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

Definition at line 50 of file itkTwoHiddenLayerBackPropagationNeuralNetwork.h.

template<class TMeasurementVector , class TTargetVector >

typedef Superclass::TargetVectorType itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::TargetVectorType

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

Definition at line 56 of file itkTwoHiddenLayerBackPropagationNeuralNetwork.h.

template<class TMeasurementVector , class TTargetVector >

typedef Superclass::TransferFunctionInterfaceType itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::TransferFunctionInterfaceType

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

Definition at line 65 of file itkTwoHiddenLayerBackPropagationNeuralNetwork.h.

template<class TMeasurementVector , class TTargetVector >

typedef Superclass::ValueType itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::ValueType

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

Definition at line 54 of file itkTwoHiddenLayerBackPropagationNeuralNetwork.h.

template<class TMeasurementVector , class TTargetVector >

typedef Superclass::WeightVectorType itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::WeightVectorType

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

Definition at line 62 of file itkTwoHiddenLayerBackPropagationNeuralNetwork.h.

---

Constructor & Destructor Documentation

template<class TMeasurementVector , class TTargetVector >

itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::TwoHiddenLayerBackPropagationNeuralNetwork

(

)

[protected]

template<class TMeasurementVector , class TTargetVector >

virtual itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::~TwoHiddenLayerBackPropagationNeuralNetwork

(

)

[inline, protected, virtual]

Definition at line 117 of file itkTwoHiddenLayerBackPropagationNeuralNetwork.h.

---

Member Function Documentation

template<class TMeasurementVector , class TTargetVector >

virtual::itk::LightObject::Pointer itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< 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::TwoHiddenLayerBackPropagationNeuralNetwork< 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::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::GetFirstHiddenLayerBias

(

)

[virtual]

template<class TMeasurementVector , class TTargetVector >

virtual const char* itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< 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::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::GetNumOfFirstHiddenNodes

(

)

[virtual]

template<class TMeasurementVector , class TTargetVector >

virtual const unsigned int& itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::GetNumOfInputNodes

(

)

[virtual]

template<class TMeasurementVector , class TTargetVector >

virtual const unsigned int& itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::GetNumOfOutputNodes

(

)

[virtual]

template<class TMeasurementVector , class TTargetVector >

virtual const unsigned int& itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::GetNumOfSecondHiddenNodes

(

)

[virtual]

template<class TMeasurementVector , class TTargetVector >

virtual const ValueType& itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::GetOutputLayerBias

(

)

[virtual]

template<class TMeasurementVector , class TTargetVector >

virtual const ValueType& itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::GetSecondHiddenLayerBias

(

)

[virtual]

template<class TMeasurementVector , class TTargetVector >

void itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< 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::TwoHiddenLayerBackPropagationNeuralNetwork< 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::TwoHiddenLayerBackPropagationNeuralNetwork< 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::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::SetFirstHiddenLayerBias

(

ValueType

_arg

)

[virtual]

template<class TMeasurementVector , class TTargetVector >

void itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::SetFirstHiddenTransferFunction

(

TransferFunctionInterfaceType *

f

)

template<class TMeasurementVector , class TTargetVector >

void itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::SetInputFunction

(

InputFunctionInterfaceType *

f

)

template<class TMeasurementVector , class TTargetVector >

void itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::SetInputTransferFunction

(

TransferFunctionInterfaceType *

f

)

template<class TMeasurementVector , class TTargetVector >

virtual void itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::SetNumOfFirstHiddenNodes

(

unsigned int

_arg

)

[virtual]

template<class TMeasurementVector , class TTargetVector >

virtual void itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::SetNumOfInputNodes

(

unsigned int

_arg

)

[virtual]

template<class TMeasurementVector , class TTargetVector >

virtual void itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::SetNumOfOutputNodes

(

unsigned int

_arg

)

[virtual]

template<class TMeasurementVector , class TTargetVector >

virtual void itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::SetNumOfSecondHiddenNodes

(

unsigned int

_arg

)

[virtual]

template<class TMeasurementVector , class TTargetVector >

virtual void itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::SetOutputLayerBias

(

ValueType

_arg

)

[virtual]

template<class TMeasurementVector , class TTargetVector >

void itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::SetOutputTransferFunction

(

TransferFunctionInterfaceType *

f

)

template<class TMeasurementVector , class TTargetVector >

virtual void itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::SetSecondHiddenLayerBias

(

ValueType

_arg

)

[virtual]

template<class TMeasurementVector , class TTargetVector >

void itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::SetSecondHiddenTransferFunction

(

TransferFunctionInterfaceType *

f

)

---

Member Data Documentation

template<class TMeasurementVector , class TTargetVector >

ValueType itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_FirstHiddenLayerBias [private]

Definition at line 129 of file itkTwoHiddenLayerBackPropagationNeuralNetwork.h.

template<class TMeasurementVector , class TTargetVector >

TransferFunctionInterfaceType::Pointer itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_FirstHiddenTransferFunction [private]

Definition at line 135 of file itkTwoHiddenLayerBackPropagationNeuralNetwork.h.

template<class TMeasurementVector , class TTargetVector >

InputFunctionInterfaceType::Pointer itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_InputFunction [private]

Definition at line 133 of file itkTwoHiddenLayerBackPropagationNeuralNetwork.h.

template<class TMeasurementVector , class TTargetVector >

TransferFunctionInterfaceType::Pointer itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_InputTransferFunction [private]

Definition at line 134 of file itkTwoHiddenLayerBackPropagationNeuralNetwork.h.

template<class TMeasurementVector , class TTargetVector >

unsigned int itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_NumOfFirstHiddenNodes [private]

Definition at line 125 of file itkTwoHiddenLayerBackPropagationNeuralNetwork.h.

template<class TMeasurementVector , class TTargetVector >

unsigned int itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_NumOfInputNodes [private]

Definition at line 124 of file itkTwoHiddenLayerBackPropagationNeuralNetwork.h.

template<class TMeasurementVector , class TTargetVector >

unsigned int itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_NumOfOutputNodes [private]

Definition at line 127 of file itkTwoHiddenLayerBackPropagationNeuralNetwork.h.

template<class TMeasurementVector , class TTargetVector >

unsigned int itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_NumOfSecondHiddenNodes [private]

Definition at line 126 of file itkTwoHiddenLayerBackPropagationNeuralNetwork.h.

template<class TMeasurementVector , class TTargetVector >

ValueType itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_OutputLayerBias [private]

Definition at line 131 of file itkTwoHiddenLayerBackPropagationNeuralNetwork.h.

template<class TMeasurementVector , class TTargetVector >

TransferFunctionInterfaceType::Pointer itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_OutputTransferFunction [private]

Definition at line 137 of file itkTwoHiddenLayerBackPropagationNeuralNetwork.h.

template<class TMeasurementVector , class TTargetVector >

ValueType itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_SecondHiddenLayerBias [private]

Definition at line 130 of file itkTwoHiddenLayerBackPropagationNeuralNetwork.h.

template<class TMeasurementVector , class TTargetVector >

TransferFunctionInterfaceType::Pointer itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::m_SecondHiddenTransferFunction [private]

Definition at line 136 of file itkTwoHiddenLayerBackPropagationNeuralNetwork.h.

---

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

• itkTwoHiddenLayerBackPropagationNeuralNetwork.h