#include <itkTwoHiddenLayerBackPropagationNeuralNetwork.h>

Inheritance diagram for itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >:

Collaboration diagram for itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >:

List of all members.

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef Superclass::InputFunctionInterfaceType	InputFunctionInterfaceType
typedef Superclass::LayerInterfaceType	LayerInterfaceType
typedef Superclass::LayerVectorType	LayerVectorType
typedef Superclass::LearningLayerType	LearningLayerType
typedef Superclass::MeasurementVectorType	MeasurementVectorType
typedef Superclass::NetworkOutputType	NetworkOutputType
typedef SmartPointer< Self >	Pointer
typedef TwoHiddenLayerBackPropagationNeuralNetwork	Self
typedef MultilayerNeuralNetworkBase < TMeasurementVector, TTargetVector, BackPropagationLayer < TMeasurementVector, TTargetVector > >	Superclass
typedef Superclass::TargetVectorType	TargetVectorType
typedef Superclass::TransferFunctionInterfaceType	TransferFunctionInterfaceType
typedef Superclass::ValueType	ValueType
typedef Superclass::WeightVectorType	WeightVectorType
Public Types inherited from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >
typedef LearningFunctionBase < typename BackPropagationLayer < TMeasurementVector, TTargetVector > ::LayerInterfaceType, TTargetVector >	LearningFunctionInterfaceType
Public Types inherited from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >
Public Types inherited from itk::DataObject
typedef std::string	DataObjectIdentifierType
typedef std::vector< Pointer > ::size_type	DataObjectPointerArraySizeType
Public Types inherited from itk::Object
Public Types inherited from itk::LightObject

Public Member Functions
virtual NetworkOutputType	GenerateOutput (TMeasurementVector samplevector)
virtual const ValueType &	GetFirstHiddenLayerBias ()
virtual const unsigned int &	GetNumOfFirstHiddenNodes ()
virtual const unsigned int &	GetNumOfInputNodes ()
virtual const unsigned int &	GetNumOfOutputNodes ()
virtual const unsigned int &	GetNumOfSecondHiddenNodes ()
virtual const ValueType &	GetOutputLayerBias ()
virtual const ValueType &	GetSecondHiddenLayerBias ()
void	Initialize ()
virtual void	SetFirstHiddenLayerBias (ValueType _arg)
void	SetFirstHiddenTransferFunction (TransferFunctionInterfaceType *f)
void	SetInputFunction (InputFunctionInterfaceType *f)
void	SetInputTransferFunction (TransferFunctionInterfaceType *f)
virtual void	SetNumOfFirstHiddenNodes (unsigned int _arg)
virtual void	SetNumOfInputNodes (unsigned int _arg)
virtual void	SetNumOfOutputNodes (unsigned int _arg)
virtual void	SetNumOfSecondHiddenNodes (unsigned int _arg)
virtual void	SetOutputLayerBias (ValueType _arg)
void	SetOutputTransferFunction (TransferFunctionInterfaceType *f)
virtual void	SetSecondHiddenLayerBias (ValueType _arg)
void	SetSecondHiddenTransferFunction (TransferFunctionInterfaceType *f)
Public Member Functions inherited from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >
void	AddLayer (LayerInterfaceType *)
void	AddWeightSet (typename LayerInterfaceType::WeightSetInterfaceType *)
virtual void	BackwardPropagate (NetworkOutputType errors)
LayerInterfaceType *	GetLayer (int layer_id)
const LayerInterfaceType *	GetLayer (int layer_id) 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)

Protected Member Functions
virtual void	PrintSelf (std::ostream &os, Indent indent) const
	TwoHiddenLayerBackPropagationNeuralNetwork ()
virtual	~TwoHiddenLayerBackPropagationNeuralNetwork ()
Protected Member Functions inherited from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >
	MultilayerNeuralNetworkBase ()
	~MultilayerNeuralNetworkBase ()
Protected Member Functions inherited from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >
	NeuralNetworkObject ()
virtual	~NeuralNetworkObject ()
Protected Member Functions inherited from itk::DataObject
virtual void	PropagateResetPipeline ()
	DataObject ()
	~DataObject ()
Protected Member Functions inherited from itk::Object
	Object ()
bool	PrintObservers (std::ostream &os, Indent indent) const
virtual void	SetTimeStamp (const TimeStamp &time)
virtual	~Object ()
Protected Member Functions inherited from itk::LightObject
virtual LightObject::Pointer	InternalClone () const
	LightObject ()
virtual void	PrintHeader (std::ostream &os, Indent indent) const
virtual void	PrintTrailer (std::ostream &os, Indent indent) const
virtual	~LightObject ()

Private Attributes
ValueType	m_FirstHiddenLayerBias
TransferFunctionInterfaceType::Pointer	m_FirstHiddenTransferFunction
InputFunctionInterfaceType::Pointer	m_InputFunction
TransferFunctionInterfaceType::Pointer	m_InputTransferFunction
unsigned int	m_NumOfFirstHiddenNodes
unsigned int	m_NumOfInputNodes
unsigned int	m_NumOfOutputNodes
unsigned int	m_NumOfSecondHiddenNodes
ValueType	m_OutputLayerBias
TransferFunctionInterfaceType::Pointer	m_OutputTransferFunction
ValueType	m_SecondHiddenLayerBias
TransferFunctionInterfaceType::Pointer	m_SecondHiddenTransferFunction
virtual const char *	GetNameOfClass () const
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
static Pointer	New ()

Additional Inherited Members
Protected Attributes inherited from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >
LayerVectorType	m_Layers
LearningFunctionInterfaceType::Pointer	m_LearningFunction
ValueType	m_LearningRate
WeightVectorType	m_Weights
Protected Attributes inherited from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >

Detailed Description