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

#include <itkTwoHiddenLayerBackPropagationNeuralNetwork.h>

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

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

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List of all members.

Public Types

typedef itk::Statistics::BackPropagationLayer<
TVector, TOutput > 
LayerType
typedef itk::Statistics::CompletelyConnectedWeightSet<
TVector, TOutput > 
WeightType
typedef TwoHiddenLayerBackPropagationNeuralNetwork Self
typedef MultilayerNeuralNetworkBase<
TVector, TOutput > 
Superclass
typedef SmartPointer< SelfPointer
typedef SmartPointer< const
Self
ConstPointer
typedef Superclass::ValueType ValueType

Public Member Functions

virtual const char * GetNameOfClass () const
void Initialize ()
virtual void SetNumOfInputNodes (int _arg)
virtual const int & GetNumOfInputNodes ()
virtual void SetNumOfHiddenNodes1 (int _arg)
virtual const int & GetNumOfHiddenNodes1 ()
virtual void SetNumOfHiddenNodes2 (int _arg)
virtual const int & GetNumOfHiddenNodes2 ()
virtual void SetNumOfOutputNodes (int _arg)
virtual const int & GetNumOfOutputNodes ()
ValueTypeGenerateOutput (TVector samplevector)

Static Public Member Functions

Pointer New ()

Protected Member Functions

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

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


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 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 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
 

Standard class typedefs.

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 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 itk::Statistics::CompletelyConnectedWeightSet<TVector, TOutput> itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TVector, TOutput >::WeightType
 

Definition at line 44 of file itkTwoHiddenLayerBackPropagationNeuralNetwork.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 79 of file itkTwoHiddenLayerBackPropagationNeuralNetwork.h.


Member Function Documentation

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

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

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

Run-time type information (and related methods).

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::TwoHiddenLayerBackPropagationNeuralNetwork< TVector, TOutput >::GetNumOfOutputNodes  )  [virtual]
 

template<class TVector, class TOutput>
void itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TVector, TOutput >::Initialize  )  [virtual]
 

Restore the data object to its initial state. This means releasing memory.

Reimplemented from itk::DataObject.

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


The documentation for this class was generated from the following file:
Generated at Thu May 25 03:16:17 2006 for ITK by doxygen 1.3.5 written by Dimitri van Heesch, © 1997-2000