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

#include <itkNeuralNetworkObject.h>

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

Collaboration diagram for itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >:

Detailed Description

template<typename TMeasurementVector, typename TTargetVector>
class itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >

This is the itkNeuralNetworkObject class.

Definition at line 36 of file itkNeuralNetworkObject.h.

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef LayerBase < TMeasurementVector, TTargetVector >	LayerInterfaceType
typedef TMeasurementVector	MeasurementVectorType
typedef Array< ValueType >	NetworkOutputType
typedef SmartPointer< Self >	Pointer
typedef NeuralNetworkObject	Self
typedef DataObject	Superclass
typedef TTargetVector	TargetVectorType
typedef MeasurementVectorType::ValueType	ValueType

Public Member Functions
virtual void	BackwardPropagate (NetworkOutputType errors)=0
virtual NetworkOutputType	GenerateOutput (TMeasurementVector samplevector)=0
virtual const char *	GetNameOfClass () const
virtual void	UpdateWeights (ValueType)=0

Protected Member Functions
	NeuralNetworkObject ()
virtual void	PrintSelf (std::ostream &os, Indent indent) const override
virtual	~NeuralNetworkObject ()

Protected Attributes
ValueType	m_LearningRate

Member Typedef Documentation

template<typename TMeasurementVector , typename TTargetVector >

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

Definition at line 43 of file itkNeuralNetworkObject.h.

template<typename TMeasurementVector , typename TTargetVector >

typedef LayerBase<TMeasurementVector, TTargetVector> itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >::LayerInterfaceType

Definition at line 52 of file itkNeuralNetworkObject.h.

template<typename TMeasurementVector , typename TTargetVector >

typedef TMeasurementVector itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >::MeasurementVectorType

Definition at line 45 of file itkNeuralNetworkObject.h.

template<typename TMeasurementVector , typename TTargetVector >

typedef Array<ValueType> itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >::NetworkOutputType

Definition at line 49 of file itkNeuralNetworkObject.h.

template<typename TMeasurementVector , typename TTargetVector >

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

Definition at line 42 of file itkNeuralNetworkObject.h.

template<typename TMeasurementVector , typename TTargetVector >

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

Definition at line 40 of file itkNeuralNetworkObject.h.

template<typename TMeasurementVector , typename TTargetVector >

typedef DataObject itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >::Superclass

Definition at line 41 of file itkNeuralNetworkObject.h.

template<typename TMeasurementVector , typename TTargetVector >

typedef TTargetVector itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >::TargetVectorType

Definition at line 50 of file itkNeuralNetworkObject.h.

template<typename TMeasurementVector , typename TTargetVector >

typedef MeasurementVectorType::ValueType itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >::ValueType

Definition at line 48 of file itkNeuralNetworkObject.h.

Constructor & Destructor Documentation

template<typename TMeasurementVector , typename TTargetVector >

itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >::NeuralNetworkObject ( )

protected

template<typename TMeasurementVector , typename TTargetVector >

virtual itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >::~NeuralNetworkObject ( )

protectedvirtual

Member Function Documentation

template<typename TMeasurementVector , typename TTargetVector >

virtual void itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >::BackwardPropagate ( NetworkOutputType  errors )

pure virtual

Implemented in itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >, and itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

template<typename TMeasurementVector , typename TTargetVector >

virtual NetworkOutputType itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >::GenerateOutput ( TMeasurementVector  samplevector )

pure virtual

Implemented in itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >, and itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

template<typename TMeasurementVector , typename TTargetVector >

virtual const char* itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >::GetNameOfClass ( ) const

virtual

Reimplemented in itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >, and itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

template<typename TMeasurementVector , typename TTargetVector >

virtual void itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >::PrintSelf ( std::ostream &  os, Indent  indent  ) const

overrideprotectedvirtual

Method to print the object.

Reimplemented in itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >, itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >, itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, and itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >.

template<typename TMeasurementVector , typename TTargetVector >

virtual void itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >::UpdateWeights ( ValueType  )

pure virtual

Implemented in itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >, and itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

Member Data Documentation

template<typename TMeasurementVector , typename TTargetVector >

ValueType itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >::m_LearningRate

protected

Definition at line 67 of file itkNeuralNetworkObject.h.

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

• itkNeuralNetworkObject.h