Reader for Neural Network. More...

#include <itkNeuralNetworkFileReader.h>

Inheritance diagram for itk::NeuralNetworkFileReader< TNetwork >:

Collaboration diagram for itk::NeuralNetworkFileReader< TNetwork >:

Classes
struct	LineType
Public Types
typedef BackPropagationLayerType::Pointer	BackPropagationLayerPointer
typedef Statistics::BackPropagationLayer < MeasurementVectorType, TargetVectorType >	BackPropagationLayerType
typedef SmartPointer< const Self >	ConstPointer
typedef TNetwork::LayerInterfaceType	LayerInterfaceType
typedef TNetwork::MeasurementVectorType	MeasurementVectorType
typedef MeasurementVectorType::ValueType	MeasurementVectorValueType
enum	NetworkWriteWeightsType { IGNORE = 0, ASCII = 1, BINARY = 2 }
typedef SmartPointer< Self >	Pointer
typedef NeuralNetworkFileReader	Self
typedef Object	Superclass
typedef TNetwork::TargetVectorType	TargetVectorType
typedef WeightSetType::Pointer	WeightSetPointer
typedef LayerInterfaceType::WeightSetType	WeightSetType
Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
virtual const char *	GetFileName () const
virtual const char *	GetNameOfClass () const
TNetwork *	GetOutput () const
virtual NetworkWriteWeightsType	GetReadWeightValuesType () const
virtual void	SetFileName (const char *_arg)
virtual void	SetReadWeightValuesType (const NetworkWriteWeightsType _arg)
void	Update (void)
Static Public Member Functions
static Pointer	New ()
Protected Member Functions
	NeuralNetworkFileReader ()
virtual void	PrintSelf (std::ostream &os, Indent indent) const
	~NeuralNetworkFileReader ()
Private Types
typedef std::vector < MET_FieldRecordType * >	FieldsContainerType
typedef std::vector< typename TNetwork::LayerInterfaceType::Pointer >	LayersContainer
typedef std::list< LineType >	LinesContainer
typedef std::vector< typename TNetwork::LayerInterfaceType::WeightSetInterfaceType::Pointer >	WeightsContainer
Private Member Functions
void	ClearFields ()
Private Attributes
bool	m_BinaryDataByteOrderMSB
FieldsContainerType	m_Fields
std::string	m_FileName
std::ifstream	m_InputFile
LayersContainer	m_Layers
LinesContainer	m_NameValue
TNetwork::Pointer	m_Network
NetworkWriteWeightsType	m_ReadWeightValuesType
WeightsContainer	m_Weights

Detailed Description

template<class TNetwork>
class itk::NeuralNetworkFileReader< TNetwork >

Reader for Neural Network.

This class will enable the user to load neural network and define weights and other network parameters from a text 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:: NeuralNetworkFileWriter; MultilayerNeuralNetworkBase

Definition at line 57 of file itkNeuralNetworkFileReader.h.

Member Typedef Documentation

template<class TNetwork >

typedef BackPropagationLayerType::Pointer itk::NeuralNetworkFileReader< TNetwork >::BackPropagationLayerPointer

Definition at line 77 of file itkNeuralNetworkFileReader.h.

template<class TNetwork >

typedef Statistics::BackPropagationLayer< MeasurementVectorType, TargetVectorType > itk::NeuralNetworkFileReader< TNetwork >::BackPropagationLayerType

Definition at line 76 of file itkNeuralNetworkFileReader.h.

template<class TNetwork >

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

Reimplemented from itk::Object.

Definition at line 65 of file itkNeuralNetworkFileReader.h.

template<class TNetwork >

typedef std::vector< MET_FieldRecordType * > itk::NeuralNetworkFileReader< TNetwork >::FieldsContainerType [private]

Definition at line 125 of file itkNeuralNetworkFileReader.h.

template<class TNetwork >

typedef TNetwork::LayerInterfaceType itk::NeuralNetworkFileReader< TNetwork >::LayerInterfaceType

Definition at line 80 of file itkNeuralNetworkFileReader.h.

template<class TNetwork >

typedef std::vector< typename TNetwork::LayerInterfaceType::Pointer > itk::NeuralNetworkFileReader< TNetwork >::LayersContainer [private]

Definition at line 126 of file itkNeuralNetworkFileReader.h.

template<class TNetwork >

typedef std::list< LineType > itk::NeuralNetworkFileReader< TNetwork >::LinesContainer [private]

Definition at line 134 of file itkNeuralNetworkFileReader.h.

template<class TNetwork >

typedef TNetwork::MeasurementVectorType itk::NeuralNetworkFileReader< TNetwork >::MeasurementVectorType

Definition at line 71 of file itkNeuralNetworkFileReader.h.

template<class TNetwork >

typedef MeasurementVectorType::ValueType itk::NeuralNetworkFileReader< TNetwork >::MeasurementVectorValueType

Definition at line 78 of file itkNeuralNetworkFileReader.h.

template<class TNetwork >

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

Reimplemented from itk::Object.

Definition at line 64 of file itkNeuralNetworkFileReader.h.

template<class TNetwork >

typedef NeuralNetworkFileReader itk::NeuralNetworkFileReader< TNetwork >::Self

SmartPointer typedef support

Reimplemented from itk::Object.

Definition at line 62 of file itkNeuralNetworkFileReader.h.

template<class TNetwork >

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

Reimplemented from itk::Object.

Definition at line 63 of file itkNeuralNetworkFileReader.h.

template<class TNetwork >

typedef TNetwork::TargetVectorType itk::NeuralNetworkFileReader< TNetwork >::TargetVectorType

Definition at line 74 of file itkNeuralNetworkFileReader.h.

template<class TNetwork >

typedef std::vector< typename TNetwork::LayerInterfaceType::WeightSetInterfaceType::Pointer > itk::NeuralNetworkFileReader< TNetwork >::WeightsContainer [private]

Definition at line 127 of file itkNeuralNetworkFileReader.h.

template<class TNetwork >

typedef WeightSetType::Pointer itk::NeuralNetworkFileReader< TNetwork >::WeightSetPointer

Definition at line 82 of file itkNeuralNetworkFileReader.h.

template<class TNetwork >

typedef LayerInterfaceType::WeightSetType itk::NeuralNetworkFileReader< TNetwork >::WeightSetType

Definition at line 81 of file itkNeuralNetworkFileReader.h.

Member Enumeration Documentation

template<class TNetwork >

enum itk::NeuralNetworkFileReader::NetworkWriteWeightsType

Enumerator:

IGNORE
ASCII
BINARY

Definition at line 113 of file itkNeuralNetworkFileReader.h.

Constructor & Destructor Documentation

template<class TNetwork >

itk::NeuralNetworkFileReader< TNetwork >::NeuralNetworkFileReader ( ) [protected]

template<class TNetwork >

itk::NeuralNetworkFileReader< TNetwork >::~NeuralNetworkFileReader ( ) [protected]

Member Function Documentation

template<class TNetwork >

void itk::NeuralNetworkFileReader< TNetwork >::ClearFields ( ) [private]

template<class TNetwork >

virtual::itk::LightObject::Pointer itk::NeuralNetworkFileReader< 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::NeuralNetworkFileReader< TNetwork >::GetFileName ( ) const [virtual]

Get the filename

template<class TNetwork >

virtual const char* itk::NeuralNetworkFileReader< TNetwork >::GetNameOfClass ( ) const [virtual]

Run-time type information (and related methods).

Reimplemented from itk::Object.

template<class TNetwork >

TNetwork* itk::NeuralNetworkFileReader< TNetwork >::GetOutput ( ) const

template<class TNetwork >

virtual NetworkWriteWeightsType itk::NeuralNetworkFileReader< TNetwork >::GetReadWeightValuesType ( ) const [virtual]

template<class TNetwork >

static Pointer itk::NeuralNetworkFileReader< TNetwork >::New ( ) [static]

Method for creation through the object factory

Reimplemented from itk::Object.

template<class TNetwork >

virtual void itk::NeuralNetworkFileReader< TNetwork >::PrintSelf	(	std::ostream &	os,
		Indent	indent
	)		const `[protected, virtual]`

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::NeuralNetworkFileReader< TNetwork >::SetFileName ( const char * _arg ) [virtual]

Set the filename

template<class TNetwork >

virtual void itk::NeuralNetworkFileReader< TNetwork >::SetReadWeightValuesType ( const NetworkWriteWeightsType _arg ) [virtual]