itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput > Class Template Reference

#include <itkMultilayerNeuralNetworkBase.h>

Inheritance diagram for itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >:

[legend]Collaboration diagram for itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >:

[legend]List of all members.

Public Types
typedef MultilayerNeuralNetworkBase	Self
typedef NeuralNetworkObject< TVector, TOutput >	Superclass
typedef SmartPointer< Self >	Pointer
typedef SmartPointer< const Self >	ConstPointer
typedef Superclass::ValueType	ValueType
typedef Superclass::LayerType	LayerType
typedef Superclass::WeightSetType	WeightSetType
typedef Superclass::WeightSetPointer	WeightSetPointer
typedef Superclass::LayerPointer	LayerPointer
typedef Superclass::LearningFunctionType	LearningFunctionType
typedef Superclass::LearningFunctionPointer	LearningFunctionPointer
typedef std::vector< WeightSetPointer >	WeightVectorType
typedef std::vector< LayerPointer >	LayerVectorType
Public Member Functions
virtual const char *	GetNameOfClass () const
virtual void	SetNumOfLayers (int _arg)
virtual const int &	GetNumOfLayers ()
void	AddLayer (LayerType *)
void	AddWeightSet (WeightSetType *)
void	SetLearningFunction (LearningFunctionType *f)
virtual ValueType *	GenerateOutput (TVector samplevector)
virtual void	BackwardPropagate (TOutput errors)
virtual void	UpdateWeights (ValueType)
void	SetLearningRule (LearningFunctionType *)
void	SetLearningRate (ValueType learningrate)
void	InitializeWeights ()
Protected Member Functions
	MultilayerNeuralNetworkBase ()
	~MultilayerNeuralNetworkBase ()
virtual void	PrintSelf (std::ostream &os, Indent indent) const
Protected Attributes
LayerVectorType	m_Layers
WeightVectorType	m_Weights
LearningFunctionPointer	m_LearningFunction
ValueType	m_LearningRate
int	m_NumOfLayers

template<class TVector, class TOutput>
class itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >

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Member Typedef Documentation

template<class TVector, class TOutput> typedef SmartPointer<const Self> itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::ConstPointer

Reimplemented from itk::Statistics::NeuralNetworkObject< TVector, TOutput >. Reimplemented in itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TVector, TOutput >, itk::Statistics::RBFNetwork< TVector, TOutput >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TVector, TOutput >. Definition at line 38 of file itkMultilayerNeuralNetworkBase.h.

template<class TVector, class TOutput> typedef Superclass::LayerPointer itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::LayerPointer

Reimplemented from itk::Statistics::NeuralNetworkObject< TVector, TOutput >. Definition at line 46 of file itkMultilayerNeuralNetworkBase.h.

template<class TVector, class TOutput> typedef Superclass::LayerType itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::LayerType

Reimplemented from itk::Statistics::NeuralNetworkObject< TVector, TOutput >. Reimplemented in itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TVector, TOutput >. Definition at line 43 of file itkMultilayerNeuralNetworkBase.h.

template<class TVector, class TOutput> typedef std::vector<LayerPointer> itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::LayerVectorType

Definition at line 51 of file itkMultilayerNeuralNetworkBase.h.

template<class TVector, class TOutput> typedef Superclass::LearningFunctionPointer itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::LearningFunctionPointer

Reimplemented from itk::Statistics::NeuralNetworkObject< TVector, TOutput >. Definition at line 48 of file itkMultilayerNeuralNetworkBase.h.

template<class TVector, class TOutput> typedef Superclass::LearningFunctionType itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::LearningFunctionType

Reimplemented from itk::Statistics::NeuralNetworkObject< TVector, TOutput >. Definition at line 47 of file itkMultilayerNeuralNetworkBase.h.

template<class TVector, class TOutput> typedef SmartPointer<Self> itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::Pointer

Reimplemented from itk::Statistics::NeuralNetworkObject< TVector, TOutput >. Reimplemented in itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TVector, TOutput >, itk::Statistics::RBFNetwork< TVector, TOutput >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TVector, TOutput >. Definition at line 37 of file itkMultilayerNeuralNetworkBase.h.

template<class TVector, class TOutput> typedef MultilayerNeuralNetworkBase itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::Self

Standard class typedefs. Reimplemented from itk::Statistics::NeuralNetworkObject< TVector, TOutput >. Reimplemented in itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TVector, TOutput >, itk::Statistics::RBFNetwork< TVector, TOutput >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TVector, TOutput >. Definition at line 35 of file itkMultilayerNeuralNetworkBase.h.

template<class TVector, class TOutput> typedef NeuralNetworkObject<TVector, TOutput> itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::Superclass

Reimplemented from itk::Statistics::NeuralNetworkObject< TVector, TOutput >. Reimplemented in itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TVector, TOutput >, itk::Statistics::RBFNetwork< TVector, TOutput >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TVector, TOutput >. Definition at line 36 of file itkMultilayerNeuralNetworkBase.h.

template<class TVector, class TOutput> typedef Superclass::ValueType itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::ValueType

Reimplemented from itk::Statistics::NeuralNetworkObject< TVector, TOutput >. Reimplemented in itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TVector, TOutput >, itk::Statistics::RBFNetwork< TVector, TOutput >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TVector, TOutput >. Definition at line 39 of file itkMultilayerNeuralNetworkBase.h.

template<class TVector, class TOutput> typedef Superclass::WeightSetPointer itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::WeightSetPointer

Reimplemented from itk::Statistics::NeuralNetworkObject< TVector, TOutput >. Definition at line 45 of file itkMultilayerNeuralNetworkBase.h.

template<class TVector, class TOutput> typedef Superclass::WeightSetType itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::WeightSetType

Reimplemented from itk::Statistics::NeuralNetworkObject< TVector, TOutput >. Definition at line 44 of file itkMultilayerNeuralNetworkBase.h.

template<class TVector, class TOutput> typedef std::vector<WeightSetPointer> itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::WeightVectorType

Definition at line 50 of file itkMultilayerNeuralNetworkBase.h.

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Constructor & Destructor Documentation

template<class TVector, class TOutput> itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::MultilayerNeuralNetworkBase (   )  [protected]

template<class TVector, class TOutput> itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::~MultilayerNeuralNetworkBase (   )  [protected]

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Member Function Documentation

template<class TVector, class TOutput> void itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::AddLayer (  LayerType *   )

template<class TVector, class TOutput> void itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::AddWeightSet (  WeightSetType *   )

template<class TVector, class TOutput> virtual void itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::BackwardPropagate (  TOutput  errors  )  [virtual]

Implements itk::Statistics::NeuralNetworkObject< TVector, TOutput >.

template<class TVector, class TOutput> virtual ValueType* itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::GenerateOutput (  TVector  samplevector  )  [virtual]

Implements itk::Statistics::NeuralNetworkObject< TVector, TOutput >. Reimplemented in itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TVector, TOutput >, itk::Statistics::RBFNetwork< TVector, TOutput >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TVector, TOutput >.

template<class TVector, class TOutput> virtual const char* itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::GetNameOfClass (   )  const [virtual]

Run-time type information (and related methods). Reimplemented from itk::Statistics::NeuralNetworkObject< TVector, TOutput >. Reimplemented in itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TVector, TOutput >, itk::Statistics::RBFNetwork< TVector, TOutput >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TVector, TOutput >.

template<class TVector, class TOutput> virtual const int& itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::GetNumOfLayers (   )  [virtual]

template<class TVector, class TOutput> void itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::InitializeWeights (   )

Reimplemented in itk::Statistics::RBFNetwork< TVector, TOutput >.

template<class TVector, class TOutput> virtual void itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::PrintSelf (  std::ostream &  os, Indent  indent )  const [protected, virtual]

Method to print the object. Reimplemented from itk::Statistics::NeuralNetworkObject< TVector, TOutput >. Reimplemented in itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TVector, TOutput >, itk::Statistics::RBFNetwork< TVector, TOutput >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TVector, TOutput >.

template<class TVector, class TOutput> void itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::SetLearningFunction (  LearningFunctionType *  f  )

template<class TVector, class TOutput> void itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::SetLearningRate (  ValueType  learningrate  )

template<class TVector, class TOutput> void itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::SetLearningRule (  LearningFunctionType *   )

template<class TVector, class TOutput> virtual void itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::SetNumOfLayers (  int  _arg  )  [virtual]

template<class TVector, class TOutput> virtual void itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::UpdateWeights (  ValueType   )  [virtual]

Implements itk::Statistics::NeuralNetworkObject< TVector, TOutput >.

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Member Data Documentation

template<class TVector, class TOutput> LayerVectorType itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::m_Layers [protected]

Definition at line 78 of file itkMultilayerNeuralNetworkBase.h.

template<class TVector, class TOutput> LearningFunctionPointer itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::m_LearningFunction [protected]

Definition at line 80 of file itkMultilayerNeuralNetworkBase.h.

template<class TVector, class TOutput> ValueType itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::m_LearningRate [protected]

Reimplemented from itk::Statistics::NeuralNetworkObject< TVector, TOutput >. Definition at line 81 of file itkMultilayerNeuralNetworkBase.h.

template<class TVector, class TOutput> int itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::m_NumOfLayers [protected]

Definition at line 82 of file itkMultilayerNeuralNetworkBase.h.

template<class TVector, class TOutput> WeightVectorType itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::m_Weights [protected]

Definition at line 79 of file itkMultilayerNeuralNetworkBase.h.

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

• itkMultilayerNeuralNetworkBase.h

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