ITK  4.0.0
Insight Segmentation and Registration Toolkit
Public Types | Public Member Functions | Protected Member Functions | Protected Attributes
itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector > Class Template Reference
Module ITKNeuralNetworks

This is the itkNeuralNetworkObject class. More...

#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::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >, itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, 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::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >, itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, 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::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >, itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, 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::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >, itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, 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::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >, itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, 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::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >, itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, 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::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >, itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, 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::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >, itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, 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::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >, itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, 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::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >, itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, 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::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >, itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, 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::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >, itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, and itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< 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:
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