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

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

Detailed Description

This is the itkMultilayerNeuralNetworkBase class.

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 Types inherited from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >
typedef SmartPointer< const Self >	ConstPointer

typedef LayerBase < TMeasurementVector, TTargetVector >	LayerInterfaceType

typedef TMeasurementVector	MeasurementVectorType

typedef Array< ValueType >	NetworkOutputType

typedef SmartPointer< Self >	Pointer

typedef NeuralNetworkObject	Self

typedef DataObject	Superclass

typedef TTargetVector	TargetVectorType

typedef MeasurementVectorType::ValueType	ValueType

Public Member Functions
void	AddLayer (LayerInterfaceType *)

void	AddWeightSet (typename LayerInterfaceType::WeightSetInterfaceType *)

virtual void	BackwardPropagate (NetworkOutputType errors) override

virtual ::itk::LightObject::Pointer	CreateAnother () const

virtual NetworkOutputType	GenerateOutput (TMeasurementVector samplevector) override

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) override

Static Public Member Functions
static Pointer	New ()

Protected Member Functions
	MultilayerNeuralNetworkBase ()

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

	~MultilayerNeuralNetworkBase ()

Protected Member Functions inherited from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >
	NeuralNetworkObject ()

virtual	~NeuralNetworkObject ()

Protected Attributes
LayerVectorType	m_Layers

LearningFunctionInterfaceType::Pointer	m_LearningFunction

ValueType	m_LearningRate

WeightVectorType	m_Weights

Protected Attributes inherited from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >
ValueType	m_LearningRate