ITK  4.9.0
Insight Segmentation and Registration Toolkit
itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer > Member List

This is the complete list of members for itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >, including all inherited members.

AddLayer(LayerInterfaceType *)itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >
AddObserver(const EventObject &event, Command *)itk::Object
AddObserver(const EventObject &event, Command *) const itk::Object
AddWeightSet(typename LayerInterfaceType::WeightSetInterfaceType *)itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >
BackwardPropagate(NetworkOutputType errors) overrideitk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >virtual
itk::Statistics::NeuralNetworkObject::BackwardPropagate(NetworkOutputType errors)=0itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >pure virtual
BreakOnError()itk::LightObjectstatic
ConstPointer typedefitk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >
CopyInformation(const DataObject *)itk::DataObjectinlinevirtual
CreateAnother() const itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >virtual
DataHasBeenGenerated()itk::DataObjectvirtual
DataObject()itk::DataObjectprotected
DataObjectIdentifierType typedefitk::DataObject
DataObjectPointerArraySizeType typedefitk::DataObject
DebugOff() const itk::Objectvirtual
DebugOn() const itk::Objectvirtual
Delete()itk::LightObjectvirtual
DisconnectPipeline()itk::DataObject
GenerateOutput(TMeasurementVector samplevector) overrideitk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >virtual
GetCommand(unsigned long tag)itk::Object
GetDataReleased() const itk::DataObjectinline
GetDebug() const itk::Object
GetGlobalReleaseDataFlag()itk::DataObjectstatic
GetGlobalWarningDisplay()itk::Objectstatic
GetLayer(int layer_id)itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >
GetLayer(int layer_id) const itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >
GetMetaDataDictionary()itk::Object
GetMetaDataDictionary() const itk::Object
GetMTime() const itk::Objectvirtual
GetNameOfClass() const itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >virtual
GetNumOfLayers(void) const itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >inline
GetNumOfWeightSets(void) const itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >inline
GetObjectName() const itk::Objectvirtual
GetPipelineMTime() const itk::DataObjectvirtual
GetRealTimeStamp() const itk::DataObjectvirtual
GetReferenceCount() const itk::LightObjectinlinevirtual
GetReleaseDataFlag() const itk::DataObjectvirtual
GetSource() const itk::DataObject
GetSourceOutputIndex() const itk::DataObject
GetSourceOutputName() const itk::DataObject
GetTimeStamp() const itk::Objectvirtual
GetUpdateMTime() const itk::DataObjectvirtual
GetWeightSet(unsigned int id)itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >inline
GlobalReleaseDataFlagOff()itk::DataObjectinlinestatic
GlobalReleaseDataFlagOn()itk::DataObjectinlinestatic
GlobalWarningDisplayOff()itk::Objectinlinestatic
GlobalWarningDisplayOn()itk::Objectinlinestatic
Graft(const DataObject *)itk::DataObjectinlinevirtual
HasObserver(const EventObject &event) const itk::Object
Initialize()itk::DataObjectvirtual
InitializeWeights()itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >
InputFunctionInterfaceType typedefitk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >
InternalClone() const itk::LightObjectprotectedvirtual
InvokeEvent(const EventObject &)itk::Object
InvokeEvent(const EventObject &) const itk::Object
itkCloneMacro(Self)itk::LightObject
LayerInterfaceType typedefitk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >
LayerVectorType typedefitk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >
LearningFunctionInterfaceType typedefitk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >
LearningLayerType typedefitk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >
LightObject()itk::LightObjectprotected
m_Layersitk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >protected
m_LearningFunctionitk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >protected
m_LearningRateitk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >protected
m_ReferenceCountitk::LightObjectmutableprotected
m_Weightsitk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >protected
MeasurementVectorType typedefitk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >
Modified() const itk::Objectvirtual
MultilayerNeuralNetworkBase()itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >protected
NetworkOutputType typedefitk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >
NeuralNetworkObject()itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >protected
New()itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >static
Object()itk::Objectprotected
Pointer typedefitk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >
PrepareForNewData()itk::DataObjectinlinevirtual
Print(std::ostream &os, Indent indent=0) const itk::LightObject
PrintHeader(std::ostream &os, Indent indent) const itk::LightObjectprotectedvirtual
PrintObservers(std::ostream &os, Indent indent) const itk::Objectprotected
PrintSelf(std::ostream &os, Indent indent) const overrideitk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >protectedvirtual
PrintTrailer(std::ostream &os, Indent indent) const itk::LightObjectprotectedvirtual
PropagateRequestedRegion()itk::DataObjectvirtual
PropagateResetPipeline()itk::DataObjectprotectedvirtual
Register() const overrideitk::Objectvirtual
ReleaseData()itk::DataObject
ReleaseDataFlagOff()itk::DataObjectvirtual
ReleaseDataFlagOn()itk::DataObjectvirtual
RemoveAllObservers()itk::Object
RemoveObserver(unsigned long tag)itk::Object
RequestedRegionIsOutsideOfTheBufferedRegion()itk::DataObjectinlinevirtual
ResetPipeline()itk::DataObjectvirtual
Self typedefitk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >
SetDebug(bool debugFlag) const itk::Object
SetGlobalReleaseDataFlag(bool val)itk::DataObjectstatic
SetGlobalWarningDisplay(bool flag)itk::Objectstatic
SetLearningFunction(LearningFunctionInterfaceType *f)itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >
SetLearningRate(ValueType learningrate)itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >
SetLearningRule(LearningFunctionInterfaceType *)itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >
SetMetaDataDictionary(const MetaDataDictionary &rhs)itk::Object
SetObjectName(std::string _arg)itk::Objectvirtual
SetPipelineMTime(ModifiedTimeType time)itk::DataObjectinline
SetRealTimeStamp(RealTimeStamp _arg)itk::DataObjectvirtual
SetReferenceCount(int) overrideitk::Objectvirtual
SetReleaseDataFlag(bool flag)itk::DataObjectinline
SetRequestedRegion(const DataObject *)itk::DataObjectinlinevirtual
SetRequestedRegionToLargestPossibleRegion()itk::DataObjectinlinevirtual
SetTimeStamp(const TimeStamp &time)itk::Objectprotectedvirtual
ShouldIReleaseData() const itk::DataObject
Superclass typedefitk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >
TargetVectorType typedefitk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >
TransferFunctionInterfaceType typedefitk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >
UnRegister() const noexceptoverrideitk::Objectvirtual
Update()itk::DataObjectvirtual
UpdateOutputData()itk::DataObjectvirtual
UpdateOutputInformation()itk::DataObjectvirtual
UpdateWeights(ValueType) overrideitk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >virtual
ValueType typedefitk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >
VerifyRequestedRegion()itk::DataObjectinlinevirtual
WeightVectorType typedefitk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >
~DataObject()itk::DataObjectprotected
~LightObject()itk::LightObjectprotectedvirtual
~MultilayerNeuralNetworkBase()itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >protected
~NeuralNetworkObject()itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >protectedvirtual
~Object()itk::Objectprotectedvirtual