#include <itkNeuralNetworkFileWriter.h>

Inheritance diagram for itk::NeuralNetworkFileWriter< TNetwork >:

Collaboration diagram for itk::NeuralNetworkFileWriter< TNetwork >:

Detailed Description

template<class TNetwork>
class itk::NeuralNetworkFileWriter< TNetwork >

Writer for Neural Network.

This class will enable a user to save a trained neural network to a text file. The user can also change the network topology by editing the network configuration file.

This class was contributed to the Insight Journal by Raghu Venkatram The original paper can be found at http://hdl.handle.net/1926/203

Author: Raghu Venkatram

See Also: NeuralNetworkFileReader; MultilayerNeuralNetworkBase

Definition at line 55 of file itkNeuralNetworkFileWriter.h.

Public Types
typedef SmartPointer< const Self >	ConstPointer

typedef LayerBaseType::ConstPointer	LayerBaseConstPointer

typedef LayerBaseType::Pointer	LayerBasePointer

typedef Statistics::LayerBase < MeasurementVectorType, TargetVectorType >	LayerBaseType

typedef TNetwork::MeasurementVectorType	MeasurementVectorType

enum	NetworkWriteWeightsType { IGNORE = 0, ASCII = 1, BINARY = 2 }

typedef SmartPointer< Self >	Pointer

typedef NeuralNetworkFileWriter	Self

typedef Object	Superclass

typedef TNetwork::TargetVectorType	TargetVectorType

Public Types inherited from itk::Object
typedef SmartPointer< const Self >	ConstPointer

typedef SmartPointer< Self >	Pointer

typedef Object	Self

typedef LightObject	Superclass

Public Types inherited from itk::LightObject
typedef SmartPointer< const Self >	ConstPointer

typedef SmartPointer< Self >	Pointer

typedef LightObject	Self

Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const

virtual const char *	GetFileName () const

const TNetwork *	GetInput () const

virtual const char *	GetNameOfClass () const

virtual NetworkWriteWeightsType	GetWriteWeightValuesType () const

virtual void	SetFileName (const char *_arg)

virtual void	SetWriteWeightValuesType (const NetworkWriteWeightsType _arg)

void	Update (void)


void	SetInput (TNetwork *network)

Public Member Functions inherited from itk::Object
unsigned long	AddObserver (const EventObject &event, Command *)

unsigned long	AddObserver (const EventObject &event, Command *) const

virtual void	DebugOff () const

virtual void	DebugOn () const

Command *	GetCommand (unsigned long tag)

bool	GetDebug () const

MetaDataDictionary &	GetMetaDataDictionary (void)

const MetaDataDictionary &	GetMetaDataDictionary (void) const

virtual ModifiedTimeType	GetMTime () const

virtual const TimeStamp &	GetTimeStamp () const

bool	HasObserver (const EventObject &event) const

void	InvokeEvent (const EventObject &)

void	InvokeEvent (const EventObject &) const

virtual void	Modified () const

virtual void	Register () const

void	RemoveAllObservers ()

void	RemoveObserver (unsigned long tag)

void	SetDebug (bool debugFlag) const

void	SetMetaDataDictionary (const MetaDataDictionary &rhs)

virtual void	SetReferenceCount (int)

virtual void	UnRegister () const

Public Member Functions inherited from itk::LightObject
virtual void	Delete ()

virtual int	GetReferenceCount () const

	itkCloneMacro (Self)

void	Print (std::ostream &os, Indent indent=0) const

Static Public Member Functions
static Pointer	New ()

Static Public Member Functions inherited from itk::Object
static bool	GetGlobalWarningDisplay ()

static void	GlobalWarningDisplayOff ()

static void	GlobalWarningDisplayOn ()

static Pointer	New ()

static void	SetGlobalWarningDisplay (bool flag)

Static Public Member Functions inherited from itk::LightObject
static void	BreakOnError ()

static Pointer	New ()

Protected Member Functions
	NeuralNetworkFileWriter ()

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

	~NeuralNetworkFileWriter ()

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 Types
typedef std::vector < MET_FieldRecordType * >	FieldsContainerType

Private Member Functions
void	ClearFields ()

Private Attributes
FieldsContainerType	m_Fields

std::string	m_FileName

TNetwork::Pointer	m_Network

std::ofstream	m_OutputFile

NetworkWriteWeightsType	m_WriteWeightValuesType

Additional Inherited Members
Protected Types inherited from itk::LightObject
typedef int	InternalReferenceCountType

Protected Attributes inherited from itk::LightObject
InternalReferenceCountType	m_ReferenceCount

SimpleFastMutexLock	m_ReferenceCountLock

Member Typedef Documentation

template<class TNetwork >

typedef SmartPointer< const Self > itk::NeuralNetworkFileWriter< TNetwork >::ConstPointer

Definition at line 63 of file itkNeuralNetworkFileWriter.h.

template<class TNetwork >

typedef std::vector< MET_FieldRecordType * > itk::NeuralNetworkFileWriter< TNetwork >::FieldsContainerType

private

Definition at line 136 of file itkNeuralNetworkFileWriter.h.

template<class TNetwork >

typedef LayerBaseType::ConstPointer itk::NeuralNetworkFileWriter< TNetwork >::LayerBaseConstPointer

Definition at line 76 of file itkNeuralNetworkFileWriter.h.

template<class TNetwork >

typedef LayerBaseType::Pointer itk::NeuralNetworkFileWriter< TNetwork >::LayerBasePointer

Definition at line 75 of file itkNeuralNetworkFileWriter.h.

template<class TNetwork >

typedef Statistics::LayerBase< MeasurementVectorType, TargetVectorType > itk::NeuralNetworkFileWriter< TNetwork >::LayerBaseType

Definition at line 74 of file itkNeuralNetworkFileWriter.h.

template<class TNetwork >

typedef TNetwork::MeasurementVectorType itk::NeuralNetworkFileWriter< TNetwork >::MeasurementVectorType

Definition at line 69 of file itkNeuralNetworkFileWriter.h.

template<class TNetwork >

typedef SmartPointer< Self > itk::NeuralNetworkFileWriter< TNetwork >::Pointer

Definition at line 62 of file itkNeuralNetworkFileWriter.h.

template<class TNetwork >

typedef NeuralNetworkFileWriter itk::NeuralNetworkFileWriter< TNetwork >::Self

SmartPointer typedef support

Definition at line 60 of file itkNeuralNetworkFileWriter.h.

template<class TNetwork >

typedef Object itk::NeuralNetworkFileWriter< TNetwork >::Superclass

Definition at line 61 of file itkNeuralNetworkFileWriter.h.

template<class TNetwork >

typedef TNetwork::TargetVectorType itk::NeuralNetworkFileWriter< TNetwork >::TargetVectorType

Definition at line 72 of file itkNeuralNetworkFileWriter.h.

Member Enumeration Documentation

template<class TNetwork >

enum itk::NeuralNetworkFileWriter::NetworkWriteWeightsType

Enumerator
IGNORE
ASCII
BINARY

Definition at line 124 of file itkNeuralNetworkFileWriter.h.

Constructor & Destructor Documentation

template<class TNetwork >

itk::NeuralNetworkFileWriter< TNetwork >::NeuralNetworkFileWriter ( )

protected

template<class TNetwork >

itk::NeuralNetworkFileWriter< TNetwork >::~NeuralNetworkFileWriter ( )

protected

Member Function Documentation

template<class TNetwork >

void itk::NeuralNetworkFileWriter< TNetwork >::ClearFields ( )

private

template<class TNetwork >

virtual::itk::LightObject::Pointer itk::NeuralNetworkFileWriter< TNetwork >::CreateAnother ( void ) const

virtual

Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.

Reimplemented from itk::Object.

template<class TNetwork >

virtual const char* itk::NeuralNetworkFileWriter< TNetwork >::GetFileName ( ) const

virtual

Get the filename

template<class TNetwork >

const TNetwork* itk::NeuralNetworkFileWriter< TNetwork >::GetInput ( ) const

template<class TNetwork >

virtual const char* itk::NeuralNetworkFileWriter< TNetwork >::GetNameOfClass ( ) const

virtual

Run-time type information (and related methods).

Reimplemented from itk::Object.

template<class TNetwork >

virtual NetworkWriteWeightsType itk::NeuralNetworkFileWriter< TNetwork >::GetWriteWeightValuesType ( ) const

virtual

template<class TNetwork >

static Pointer itk::NeuralNetworkFileWriter< TNetwork >::New ( )

static

Method for creation through the object factory

template<class TNetwork >

virtual void itk::NeuralNetworkFileWriter< TNetwork >::PrintSelf	(	std::ostream &	os,
		Indent	indent
	)		const

protectedvirtual

Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.

Reimplemented from itk::Object.

template<class TNetwork >

virtual void itk::NeuralNetworkFileWriter< TNetwork >::SetFileName ( const char * _arg )

virtual

Set the filename

template<class TNetwork >

void itk::NeuralNetworkFileWriter< TNetwork >::SetInput ( TNetwork * network )

Set/Get the input transform to write

template<class TNetwork >

virtual void itk::NeuralNetworkFileWriter< TNetwork >::SetWriteWeightValuesType ( const NetworkWriteWeightsType _arg )

virtual

template<class TNetwork >