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

#include <itkTwoHiddenLayerBackPropagationNeuralNetwork.h>

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

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

[legend]List of all members.

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

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef Superclass::LayerPointer	LayerPointer
typedef itk::Statistics::BackPropagationLayer< TVector, TOutput >	LayerType
typedef std::vector< LayerPointer >	LayerVectorType
typedef Superclass::LearningFunctionPointer	LearningFunctionPointer
typedef Superclass::LearningFunctionType	LearningFunctionType
typedef Superclass::NetworkOutputType	NetworkOutputType
typedef SmartPointer< Self >	Pointer
typedef TwoHiddenLayerBackPropagationNeuralNetwork	Self
typedef MultilayerNeuralNetworkBase< TVector, TOutput >	Superclass
typedef TOutput	TargetVectorType
typedef Superclass::ValueType	ValueType
typedef Superclass::WeightSetPointer	WeightSetPointer
typedef Superclass::WeightSetType	WeightSetType
typedef itk::Statistics::CompletelyConnectedWeightSet< TVector, TOutput >	WeightType
typedef std::vector< WeightSetPointer >	WeightVectorType
Public Member Functions
void	AddLayer (LayerType *)
void	AddWeightSet (WeightSetType *)
virtual void	BackwardPropagate (NetworkOutputType errors)
virtual NetworkOutputType	GenerateOutput (TVector samplevector)
LayerType *	GetLayer (int layer_id)
virtual const char *	GetNameOfClass () const
virtual const int &	GetNumOfHiddenNodes1 ()
virtual const int &	GetNumOfHiddenNodes2 ()
virtual const int &	GetNumOfInputNodes ()
virtual const int &	GetNumOfLayers ()
virtual const int &	GetNumOfOutputNodes ()
virtual const int &	GetNumOfWeightSets ()
WeightSetType *	GetWeightSet (int id)
void	Initialize ()
void	InitializeWeights ()
void	SetLearningFunction (LearningFunctionType *f)
void	SetLearningRate (ValueType learningrate)
void	SetLearningRule (LearningFunctionType *)
virtual void	SetNumOfHiddenNodes1 (int _arg)
virtual void	SetNumOfHiddenNodes2 (int _arg)
virtual void	SetNumOfInputNodes (int _arg)
virtual void	SetNumOfLayers (int _arg)
virtual void	SetNumOfOutputNodes (int _arg)
virtual void	SetNumOfWeightSets (int _arg)
virtual void	UpdateWeights (ValueType)
Static Public Member Functions
static Pointer	New ()
Protected Member Functions
virtual void	PrintSelf (std::ostream &os, Indent indent) const
	TwoHiddenLayerBackPropagationNeuralNetwork ()
	~TwoHiddenLayerBackPropagationNeuralNetwork ()
Protected Attributes
LayerVectorType	m_Layers
LearningFunctionPointer	m_LearningFunction
ValueType	m_LearningRate
int	m_NumOfLayers
int	m_NumOfWeightSets
WeightVectorType	m_Weights

---

Member Typedef Documentation

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

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >. Definition at line 49 of file itkTwoHiddenLayerBackPropagationNeuralNetwork.h.

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

Reimplemented from itk::Statistics::NeuralNetworkObject< TVector, TOutput >. Definition at line 49 of file itkMultilayerNeuralNetworkBase.h.

template<class TVector, class TOutput> typedef itk::Statistics::BackPropagationLayer<TVector, TOutput> itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TVector, TOutput >::LayerType

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >. Definition at line 43 of file itkTwoHiddenLayerBackPropagationNeuralNetwork.h.

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

Definition at line 54 of file itkMultilayerNeuralNetworkBase.h.

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

Reimplemented from itk::Statistics::NeuralNetworkObject< TVector, TOutput >. Definition at line 51 of file itkMultilayerNeuralNetworkBase.h.

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

Reimplemented from itk::Statistics::NeuralNetworkObject< TVector, TOutput >. Definition at line 50 of file itkMultilayerNeuralNetworkBase.h.

template<class TVector, class TOutput> typedef Superclass::NetworkOutputType itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TVector, TOutput >::NetworkOutputType

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >. Definition at line 51 of file itkTwoHiddenLayerBackPropagationNeuralNetwork.h.

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

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

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

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

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

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

template<class TVector, class TOutput> typedef TOutput itk::Statistics::NeuralNetworkObject< TVector, TOutput >::TargetVectorType [inherited]

Definition at line 42 of file itkNeuralNetworkObject.h.

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

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >. Definition at line 56 of file itkTwoHiddenLayerBackPropagationNeuralNetwork.h.

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

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

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

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

template<class TVector, class TOutput> typedef itk::Statistics::CompletelyConnectedWeightSet<TVector, TOutput> itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TVector, TOutput >::WeightType

Definition at line 44 of file itkTwoHiddenLayerBackPropagationNeuralNetwork.h.

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

Definition at line 53 of file itkMultilayerNeuralNetworkBase.h.

---

Constructor & Destructor Documentation

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

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

Definition at line 82 of file itkTwoHiddenLayerBackPropagationNeuralNetwork.h.

---

Member Function Documentation

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

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

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

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

template<class TVector, class TOutput> virtual NetworkOutputType itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TVector, TOutput >::GenerateOutput (  TVector  samplevector  )  [virtual]

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >.

template<class TVector, class TOutput> LayerType* itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::GetLayer (  int  layer_id  )  [inherited]

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

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >.

template<class TVector, class TOutput> virtual const int& itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TVector, TOutput >::GetNumOfHiddenNodes1 (   )  [virtual]

template<class TVector, class TOutput> virtual const int& itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TVector, TOutput >::GetNumOfHiddenNodes2 (   )  [virtual]

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

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

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

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

template<class TVector, class TOutput> WeightSetType* itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >::GetWeightSet (  int  id  )  [inherited]

template<class TVector, class TOutput> void itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TVector, TOutput >::Initialize (   )

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

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

template<class TVector, class TOutput> static Pointer itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TVector, TOutput >::New (   )  [static]

New macro for creation of through a Smart Pointer. Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >.

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

Method to print the object. Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TVector, TOutput >.

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

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

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

template<class TVector, class TOutput> virtual void itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TVector, TOutput >::SetNumOfHiddenNodes1 (  int  _arg  )  [virtual]

template<class TVector, class TOutput> virtual void itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TVector, TOutput >::SetNumOfHiddenNodes2 (  int  _arg  )  [virtual]

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

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

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

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

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

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

---

Member Data Documentation

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

Definition at line 88 of file itkMultilayerNeuralNetworkBase.h.

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

Definition at line 90 of file itkMultilayerNeuralNetworkBase.h.

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

Reimplemented from itk::Statistics::NeuralNetworkObject< TVector, TOutput >. Definition at line 91 of file itkMultilayerNeuralNetworkBase.h.

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

Definition at line 92 of file itkMultilayerNeuralNetworkBase.h.

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

Definition at line 93 of file itkMultilayerNeuralNetworkBase.h.

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

Definition at line 89 of file itkMultilayerNeuralNetworkBase.h.

---

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

• itkTwoHiddenLayerBackPropagationNeuralNetwork.h

---