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

ITK 4.1.0

Insight Segmentation and Registration Toolkit

#include <itkNeuralNetworkObject.h>

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

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

List of all members.

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
virtual	~NeuralNetworkObject ()
Protected Attributes
ValueType	m_LearningRate

Detailed Description

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

This is the itkNeuralNetworkObject class.

Definition at line 36 of file itkNeuralNetworkObject.h.

Member Typedef Documentation

template<class TMeasurementVector , class TTargetVector >

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

Reimplemented from itk::DataObject.

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 > >.

Definition at line 43 of file itkNeuralNetworkObject.h.

template<class TMeasurementVector , class TTargetVector >

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

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 > >.

Definition at line 52 of file itkNeuralNetworkObject.h.

template<class TMeasurementVector , class TTargetVector >

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

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 > >.

Definition at line 45 of file itkNeuralNetworkObject.h.

template<class TMeasurementVector , class TTargetVector >

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

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 > >.

Definition at line 49 of file itkNeuralNetworkObject.h.

template<class TMeasurementVector , class TTargetVector >

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

Reimplemented from itk::DataObject.

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 > >.

Definition at line 42 of file itkNeuralNetworkObject.h.

template<class TMeasurementVector , class TTargetVector >

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

Standard class typedefs.

Reimplemented from itk::DataObject.

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 > >.

Definition at line 40 of file itkNeuralNetworkObject.h.

template<class TMeasurementVector , class TTargetVector >

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

Reimplemented from itk::DataObject.

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 > >.

Definition at line 41 of file itkNeuralNetworkObject.h.

template<class TMeasurementVector , class TTargetVector >

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

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 > >.

Definition at line 50 of file itkNeuralNetworkObject.h.

template<class TMeasurementVector , class TTargetVector >

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

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 > >.

Definition at line 48 of file itkNeuralNetworkObject.h.

Constructor & Destructor Documentation

template<class TMeasurementVector , class TTargetVector >

itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >::NeuralNetworkObject ( ) [protected]

template<class TMeasurementVector , class TTargetVector >

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

Member Function Documentation

template<class TMeasurementVector , class TTargetVector >

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

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

template<class TMeasurementVector , class 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<class TMeasurementVector , class TTargetVector >

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

Run-time type information (and related methods).

Reimplemented from itk::DataObject.

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<class TMeasurementVector , class TTargetVector >

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

Method to print the object.

Reimplemented from itk::DataObject.

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<class TMeasurementVector , class 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<class TMeasurementVector , class TTargetVector >

ValueType itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >::m_LearningRate [protected]

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

Definition at line 67 of file itkNeuralNetworkObject.h.

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

itkNeuralNetworkObject.h