itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector > Class Template Reference

#include <itkRBFNetwork.h>

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

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

List of all members.

Public Types
typedef Array< ValueType >	ArrayType
typedef SmartPointer< const Self >	ConstPointer
typedef EuclideanDistanceMetric < ArrayType >	DistanceMetricType
typedef RBFLayer < TMeasurementVector, TTargetVector >	HiddenLayerType
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 RadialBasisFunctionBase < ValueType >	RBFTransferFunctionType
typedef RBFNetwork	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 unsigned int &	GetClasses ()
virtual const ValueType &	GetFirstHiddenLayerBias ()
virtual const unsigned int &	GetNumOfFirstHiddenNodes ()
virtual const unsigned int &	GetNumOfInputNodes ()
virtual const unsigned int &	GetNumOfOutputNodes ()
virtual const ValueType &	GetOutputLayerBias ()
void	Initialize ()
void	InitializeWeights ()
void	SetCenter (TMeasurementVector c)
virtual void	SetClasses (unsigned int _arg)
void	SetDistanceMetric (DistanceMetricType *f)
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	SetOutputLayerBias (ValueType _arg)
void	SetOutputTransferFunction (TransferFunctionInterfaceType *f)
void	SetRadius (ValueType r)
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	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
	RBFNetwork ()
virtual	~RBFNetwork ()
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
std::vector< TMeasurementVector >	m_Centers
unsigned int	m_Classes
DistanceMetricType::Pointer	m_DistanceMetric
ValueType	m_FirstHiddenLayerBias
RBFTransferFunctionType::Pointer	m_FirstHiddenTransferFunction
InputFunctionInterfaceType::Pointer	m_InputFunction
TransferFunctionInterfaceType::Pointer	m_InputTransferFunction
unsigned int	m_NumOfFirstHiddenNodes
unsigned int	m_NumOfInputNodes
unsigned int	m_NumOfOutputNodes
ValueType	m_OutputLayerBias
TransferFunctionInterfaceType::Pointer	m_OutputTransferFunction
std::vector< double >	m_Radii
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 >

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Detailed Description

template<class TMeasurementVector, class TTargetVector>
class itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >

This is the itkRBFNetwork class.

Definition at line 47 of file itkRBFNetwork.h.

---

Member Typedef Documentation

template<class TMeasurementVector , class TTargetVector >

typedef Array<ValueType> itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::ArrayType

Definition at line 72 of file itkRBFNetwork.h.

template<class TMeasurementVector , class TTargetVector >

typedef SmartPointer<const Self> itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::ConstPointer

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

Definition at line 55 of file itkRBFNetwork.h.

template<class TMeasurementVector , class TTargetVector >

typedef EuclideanDistanceMetric<ArrayType> itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::DistanceMetricType

Definition at line 73 of file itkRBFNetwork.h.

template<class TMeasurementVector , class TTargetVector >

typedef RBFLayer<TMeasurementVector, TTargetVector> itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::HiddenLayerType

Definition at line 75 of file itkRBFNetwork.h.

template<class TMeasurementVector , class TTargetVector >

typedef Superclass::InputFunctionInterfaceType itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::InputFunctionInterfaceType

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

Definition at line 69 of file itkRBFNetwork.h.

template<class TMeasurementVector , class TTargetVector >

typedef Superclass::LayerInterfaceType itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::LayerInterfaceType

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

Definition at line 62 of file itkRBFNetwork.h.

template<class TMeasurementVector , class TTargetVector >

typedef Superclass::LayerVectorType itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::LayerVectorType

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

Definition at line 66 of file itkRBFNetwork.h.

template<class TMeasurementVector , class TTargetVector >

typedef Superclass::LearningLayerType itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::LearningLayerType

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

Definition at line 63 of file itkRBFNetwork.h.

template<class TMeasurementVector , class TTargetVector >

typedef Superclass::MeasurementVectorType itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::MeasurementVectorType

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

Definition at line 58 of file itkRBFNetwork.h.

template<class TMeasurementVector , class TTargetVector >

typedef Superclass::NetworkOutputType itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::NetworkOutputType

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

Definition at line 60 of file itkRBFNetwork.h.

template<class TMeasurementVector , class TTargetVector >

typedef SmartPointer<Self> itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::Pointer

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

Definition at line 54 of file itkRBFNetwork.h.

template<class TMeasurementVector , class TTargetVector >

typedef RadialBasisFunctionBase<ValueType> itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::RBFTransferFunctionType

Definition at line 74 of file itkRBFNetwork.h.

template<class TMeasurementVector , class TTargetVector >

typedef RBFNetwork itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::Self

Standard class typedefs.

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

Definition at line 51 of file itkRBFNetwork.h.

template<class TMeasurementVector , class TTargetVector >

typedef MultilayerNeuralNetworkBase<TMeasurementVector, TTargetVector , BackPropagationLayer<TMeasurementVector, TTargetVector> > itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::Superclass

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

Definition at line 53 of file itkRBFNetwork.h.

template<class TMeasurementVector , class TTargetVector >

typedef Superclass::TargetVectorType itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::TargetVectorType

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

Definition at line 59 of file itkRBFNetwork.h.

template<class TMeasurementVector , class TTargetVector >

typedef Superclass::TransferFunctionInterfaceType itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::TransferFunctionInterfaceType

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

Definition at line 68 of file itkRBFNetwork.h.

template<class TMeasurementVector , class TTargetVector >

typedef Superclass::ValueType itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::ValueType

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

Definition at line 57 of file itkRBFNetwork.h.

template<class TMeasurementVector , class TTargetVector >

typedef Superclass::WeightVectorType itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::WeightVectorType

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

Definition at line 65 of file itkRBFNetwork.h.

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Constructor & Destructor Documentation

template<class TMeasurementVector , class TTargetVector >

itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::RBFNetwork ( )

protected

template<class TMeasurementVector , class TTargetVector >

virtual itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::~RBFNetwork ( )

inlineprotectedvirtual

Definition at line 130 of file itkRBFNetwork.h.

---

Member Function Documentation

template<class TMeasurementVector , class TTargetVector >

virtual::itk::LightObject::Pointer itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::CreateAnother ( void  ) const

virtual

Method for creation through the object factory.

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

template<class TMeasurementVector , class TTargetVector >

virtual NetworkOutputType itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::GenerateOutput ( TMeasurementVector  samplevector )

virtual

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

template<class TMeasurementVector , class TTargetVector >

virtual const unsigned int& itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::GetClasses ( )

virtual

template<class TMeasurementVector , class TTargetVector >

virtual const ValueType& itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::GetFirstHiddenLayerBias ( )

virtual

template<class TMeasurementVector , class TTargetVector >

virtual const char* itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::GetNameOfClass ( ) const

virtual

Method for creation through the object factory.

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

template<class TMeasurementVector , class TTargetVector >

virtual const unsigned int& itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::GetNumOfFirstHiddenNodes ( )

virtual

template<class TMeasurementVector , class TTargetVector >

virtual const unsigned int& itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::GetNumOfInputNodes ( )

virtual

template<class TMeasurementVector , class TTargetVector >

virtual const unsigned int& itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::GetNumOfOutputNodes ( )

virtual

template<class TMeasurementVector , class TTargetVector >

virtual const ValueType& itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::GetOutputLayerBias ( )

virtual

template<class TMeasurementVector , class TTargetVector >

void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::Initialize ( )

virtual

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

Reimplemented from itk::DataObject.

template<class TMeasurementVector , class TTargetVector >

void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::InitializeWeights

(

)

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

template<class TMeasurementVector , class TTargetVector >

static Pointer itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::New ( )

static

Method for creation through the object factory.

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

template<class TMeasurementVector , class TTargetVector >

virtual void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::PrintSelf ( std::ostream &  os, Indent  indent  ) const

protectedvirtual

Method to print the object.

Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.

template<class TMeasurementVector , class TTargetVector >

void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetCenter

(

TMeasurementVector

c

)

template<class TMeasurementVector , class TTargetVector >

virtual void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetClasses ( unsigned int  _arg )

virtual

template<class TMeasurementVector , class TTargetVector >

void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetDistanceMetric

(

DistanceMetricType *

f

)

template<class TMeasurementVector , class TTargetVector >

virtual void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetFirstHiddenLayerBias ( ValueType  _arg )

virtual

template<class TMeasurementVector , class TTargetVector >

void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetFirstHiddenTransferFunction

(

TransferFunctionInterfaceType *

f

)

template<class TMeasurementVector , class TTargetVector >

void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetInputFunction

(

InputFunctionInterfaceType *

f

)

template<class TMeasurementVector , class TTargetVector >

void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetInputTransferFunction

(

TransferFunctionInterfaceType *

f

)

template<class TMeasurementVector , class TTargetVector >

virtual void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetNumOfFirstHiddenNodes ( unsigned int  _arg )

virtual

template<class TMeasurementVector , class TTargetVector >

virtual void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetNumOfInputNodes ( unsigned int  _arg )

virtual

template<class TMeasurementVector , class TTargetVector >

virtual void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetNumOfOutputNodes ( unsigned int  _arg )

virtual

template<class TMeasurementVector , class TTargetVector >

virtual void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetOutputLayerBias ( ValueType  _arg )

virtual

template<class TMeasurementVector , class TTargetVector >

void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetOutputTransferFunction

(

TransferFunctionInterfaceType *

f

)

template<class TMeasurementVector , class TTargetVector >

void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetRadius

(

ValueType

r

)

---

Member Data Documentation

template<class TMeasurementVector , class TTargetVector >

std::vector<TMeasurementVector> itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::m_Centers

private

Definition at line 138 of file itkRBFNetwork.h.

template<class TMeasurementVector , class TTargetVector >

unsigned int itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::m_Classes

private

Definition at line 141 of file itkRBFNetwork.h.

template<class TMeasurementVector , class TTargetVector >

DistanceMetricType::Pointer itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::m_DistanceMetric

private

Definition at line 137 of file itkRBFNetwork.h.

template<class TMeasurementVector , class TTargetVector >

ValueType itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::m_FirstHiddenLayerBias

private

Definition at line 146 of file itkRBFNetwork.h.

template<class TMeasurementVector , class TTargetVector >

RBFTransferFunctionType::Pointer itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::m_FirstHiddenTransferFunction

private

Definition at line 151 of file itkRBFNetwork.h.

template<class TMeasurementVector , class TTargetVector >

InputFunctionInterfaceType::Pointer itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::m_InputFunction

private

Definition at line 149 of file itkRBFNetwork.h.

template<class TMeasurementVector , class TTargetVector >

TransferFunctionInterfaceType::Pointer itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::m_InputTransferFunction

private

Definition at line 150 of file itkRBFNetwork.h.

template<class TMeasurementVector , class TTargetVector >

unsigned int itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::m_NumOfFirstHiddenNodes

private

Definition at line 143 of file itkRBFNetwork.h.

template<class TMeasurementVector , class TTargetVector >

unsigned int itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::m_NumOfInputNodes

private

Definition at line 142 of file itkRBFNetwork.h.

template<class TMeasurementVector , class TTargetVector >

unsigned int itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::m_NumOfOutputNodes

private

Definition at line 144 of file itkRBFNetwork.h.

template<class TMeasurementVector , class TTargetVector >

ValueType itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::m_OutputLayerBias

private

Definition at line 147 of file itkRBFNetwork.h.

template<class TMeasurementVector , class TTargetVector >

TransferFunctionInterfaceType::Pointer itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::m_OutputTransferFunction

private

Definition at line 152 of file itkRBFNetwork.h.

template<class TMeasurementVector , class TTargetVector >

std::vector<double> itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::m_Radii

private

Definition at line 139 of file itkRBFNetwork.h.

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

• itkRBFNetwork.h