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

This is the itkMultilayerNeuralNetworkBase class. More...

#include <itkMultilayerNeuralNetworkBase.h>

Inheritance diagram for itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >:
Collaboration diagram for itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >:

List of all members.

Public Types

typedef SmartPointer< const Self > ConstPointer
typedef InputFunctionBase
< ValueType *, ValueType > 		InputFunctionInterfaceType
typedef
Superclass::LayerInterfaceType 		LayerInterfaceType
typedef std::vector< typename
LayerInterfaceType::Pointer > 		LayerVectorType
typedef LearningFunctionBase
< typename
TLearningLayer::LayerInterfaceType,
TTargetVector > 		LearningFunctionInterfaceType
typedef TLearningLayer LearningLayerType
typedef
Superclass::MeasurementVectorType 		MeasurementVectorType
typedef
Superclass::NetworkOutputType 		NetworkOutputType
typedef SmartPointer< Self > Pointer
typedef MultilayerNeuralNetworkBase Self
typedef NeuralNetworkObject
< TMeasurementVector,
TTargetVector > 		Superclass
typedef
Superclass::TargetVectorType 		TargetVectorType
typedef TransferFunctionBase
< ValueType > 		TransferFunctionInterfaceType
typedef Superclass::ValueType ValueType
typedef std::vector< typename
LayerInterfaceType::WeightSetInterfaceType::Pointer > 		WeightVectorType

Public Member Functions

void AddLayer (LayerInterfaceType *)
void AddWeightSet (typename LayerInterfaceType::WeightSetInterfaceType *)
virtual void BackwardPropagate (NetworkOutputType errors)
virtual ::itk::LightObject::Pointer CreateAnother (void) const
virtual NetworkOutputType GenerateOutput (TMeasurementVector samplevector)
LayerInterfaceType * GetLayer (int layer_id)
const LayerInterfaceType * GetLayer (int layer_id) const
virtual const char * GetNameOfClass () const
int GetNumOfLayers (void) const
int GetNumOfWeightSets (void) const
LayerInterfaceType::WeightSetInterfaceType * GetWeightSet (unsigned int id)
void InitializeWeights ()
void SetLearningFunction (LearningFunctionInterfaceType *f)
void SetLearningRate (ValueType learningrate)
void SetLearningRule (LearningFunctionInterfaceType *)
virtual void UpdateWeights (ValueType)

Static Public Member Functions

static Pointer New ()

Protected Member Functions

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

Protected Attributes

LayerVectorType m_Layers
LearningFunctionInterfaceType::Pointer m_LearningFunction
ValueType m_LearningRate
WeightVectorType m_Weights

Detailed Description

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
class itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >

This is the itkMultilayerNeuralNetworkBase class.

Definition at line 34 of file itkMultilayerNeuralNetworkBase.h.

Member Typedef Documentation

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
typedef SmartPointer<const Self> itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::ConstPointer

Reimplemented from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.

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

Definition at line 42 of file itkMultilayerNeuralNetworkBase.h.

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
typedef InputFunctionBase<ValueType*, ValueType> itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::InputFunctionInterfaceType

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

Definition at line 66 of file itkMultilayerNeuralNetworkBase.h.

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
typedef Superclass::LayerInterfaceType itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::LayerInterfaceType

Reimplemented from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.

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

Definition at line 54 of file itkMultilayerNeuralNetworkBase.h.

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
typedef std::vector<typename LayerInterfaceType::Pointer> itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::LayerVectorType

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

Definition at line 63 of file itkMultilayerNeuralNetworkBase.h.

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
typedef LearningFunctionBase<typename TLearningLayer::LayerInterfaceType, TTargetVector> itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::LearningFunctionInterfaceType

Definition at line 58 of file itkMultilayerNeuralNetworkBase.h.

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
typedef TLearningLayer itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::LearningLayerType

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

Definition at line 56 of file itkMultilayerNeuralNetworkBase.h.

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
typedef Superclass::MeasurementVectorType itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::MeasurementVectorType

Reimplemented from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.

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

Definition at line 50 of file itkMultilayerNeuralNetworkBase.h.

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
typedef Superclass::NetworkOutputType itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::NetworkOutputType

Reimplemented from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.

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

Definition at line 52 of file itkMultilayerNeuralNetworkBase.h.

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
typedef SmartPointer<Self> itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::Pointer

Reimplemented from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.

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

Definition at line 41 of file itkMultilayerNeuralNetworkBase.h.

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
typedef MultilayerNeuralNetworkBase itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::Self

Standard class typedefs.

Reimplemented from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.

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

Definition at line 38 of file itkMultilayerNeuralNetworkBase.h.

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
typedef NeuralNetworkObject<TMeasurementVector, TTargetVector> itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::Superclass

Reimplemented from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.

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

Definition at line 40 of file itkMultilayerNeuralNetworkBase.h.

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
typedef Superclass::TargetVectorType itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::TargetVectorType

Reimplemented from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.

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

Definition at line 51 of file itkMultilayerNeuralNetworkBase.h.

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
typedef TransferFunctionBase<ValueType> itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::TransferFunctionInterfaceType

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

Definition at line 65 of file itkMultilayerNeuralNetworkBase.h.

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
typedef Superclass::ValueType itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::ValueType

Reimplemented from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.

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

Definition at line 47 of file itkMultilayerNeuralNetworkBase.h.

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
typedef std::vector<typename LayerInterfaceType::WeightSetInterfaceType::Pointer> itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::WeightVectorType

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

Definition at line 61 of file itkMultilayerNeuralNetworkBase.h.

Constructor & Destructor Documentation

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::MultilayerNeuralNetworkBase ( ) [protected]
template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::~MultilayerNeuralNetworkBase ( ) [protected]

Member Function Documentation

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
void itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::AddLayer ( LayerInterfaceType *  )
template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
void itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::AddWeightSet ( typename LayerInterfaceType::WeightSetInterfaceType *  )
template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
virtual void itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::BackwardPropagate ( NetworkOutputType  errors) [virtual]
template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
virtual::itk::LightObject::Pointer itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::CreateAnother ( void  ) const [virtual]

Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.

Reimplemented from itk::Object.

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

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
virtual NetworkOutputType itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::GenerateOutput ( TMeasurementVector  samplevector) [virtual]

Implements itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.

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

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
const LayerInterfaceType* itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::GetLayer ( int  layer_id) const
template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
LayerInterfaceType* itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::GetLayer ( int  layer_id)
template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
virtual const char* itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::GetNameOfClass ( ) const [virtual]

Run-time type information (and related methods).

Reimplemented from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.

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

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
int itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::GetNumOfLayers ( void  ) const [inline]

Definition at line 76 of file itkMultilayerNeuralNetworkBase.h.

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
int itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::GetNumOfWeightSets ( void  ) const [inline]

Definition at line 80 of file itkMultilayerNeuralNetworkBase.h.

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
LayerInterfaceType::WeightSetInterfaceType* itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::GetWeightSet ( unsigned int  id) [inline]

Definition at line 92 of file itkMultilayerNeuralNetworkBase.h.

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
void itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::InitializeWeights ( )

Reimplemented in itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >.

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
static Pointer itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::New ( ) [static]

New macro for creation of through a Smart Pointer.

Reimplemented from itk::Object.

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

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

Method to print the object.

Reimplemented from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.

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

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
void itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::SetLearningFunction ( LearningFunctionInterfaceType *  f)
template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
void itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::SetLearningRate ( ValueType  learningrate)
template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
void itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::SetLearningRule ( LearningFunctionInterfaceType *  )
template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
virtual void itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::UpdateWeights ( ValueType  ) [virtual]

Implements itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.

Member Data Documentation

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
LayerVectorType itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::m_Layers [protected]

Definition at line 117 of file itkMultilayerNeuralNetworkBase.h.

Referenced by itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >::GetNumOfLayers().

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
LearningFunctionInterfaceType::Pointer itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::m_LearningFunction [protected]

Definition at line 119 of file itkMultilayerNeuralNetworkBase.h.

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
ValueType itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::m_LearningRate [protected]

Reimplemented from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.

Definition at line 120 of file itkMultilayerNeuralNetworkBase.h.

template<class TMeasurementVector, class TTargetVector, class TLearningLayer = LayerBase<TMeasurementVector, TTargetVector>>
WeightVectorType itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::m_Weights [protected]

Definition at line 118 of file itkMultilayerNeuralNetworkBase.h.

Referenced by itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >::GetNumOfWeightSets(), and itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >::GetWeightSet().

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