ITK  4.4.0
Insight Segmentation and Registration Toolkit
itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector > Member List

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

AddLayer(LayerInterfaceType *)itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >
AddObserver(const EventObject &event, Command *)itk::Object
AddObserver(const EventObject &event, Command *) const itk::Object
AddWeightSet(typename LayerInterfaceType::WeightSetInterfaceType *)itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >
ArrayType typedefitk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >
BackwardPropagate(NetworkOutputType errors)itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >virtual
BreakOnError()itk::LightObjectstatic
ConstPointer typedefitk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >
CopyInformation(const DataObject *)itk::DataObjectinlinevirtual
CreateAnother(void) const itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >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
DistanceMetricType typedefitk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >
GenerateOutput(TMeasurementVector samplevector)itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >virtual
GetClasses()itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >virtual
GetCommand(unsigned long tag)itk::Object
GetDataReleased() const itk::DataObjectinline
GetDebug() const itk::Object
GetFirstHiddenLayerBias()itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >virtual
GetGlobalReleaseDataFlag()itk::DataObjectstatic
GetGlobalWarningDisplay()itk::Objectstatic
GetLayer(int layer_id)itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >
GetLayer(int layer_id) constitk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >
GetMetaDataDictionary(void)itk::Object
GetMetaDataDictionary(void) const itk::Object
GetMTime() const itk::Objectvirtual
GetNameOfClass() const itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >virtual
GetNumOfFirstHiddenNodes()itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >virtual
GetNumOfInputNodes()itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >virtual
GetNumOfLayers(void) constitk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >inline
GetNumOfOutputNodes()itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >virtual
GetNumOfWeightSets(void) constitk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >inline
GetOutputLayerBias()itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >virtual
GetPipelineMTime()itk::DataObjectvirtual
GetRealTimeStamp()itk::DataObjectvirtual
GetReferenceCount() const itk::LightObjectinlinevirtual
GetReleaseDataFlag()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, BackPropagationLayer< TMeasurementVector, TTargetVector > >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
HiddenLayerType typedefitk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >
Initialize()itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >virtual
InitializeWeights()itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >
InputFunctionInterfaceType typedefitk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >
InternalClone() const itk::LightObjectprotectedvirtual
InternalReferenceCountType typedefitk::LightObjectprotected
InvokeEvent(const EventObject &)itk::Object
InvokeEvent(const EventObject &) const itk::Object
itkCloneMacro(Self)itk::LightObject
LayerInterfaceType typedefitk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >
LayerVectorType typedefitk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >
LearningFunctionInterfaceType typedefitk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >
LearningLayerType typedefitk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >
LightObject()itk::LightObjectinlineprotected
m_Centersitk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >private
m_Classesitk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >private
m_DistanceMetricitk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >private
m_FirstHiddenLayerBiasitk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >private
m_FirstHiddenTransferFunctionitk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >private
m_InputFunctionitk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >private
m_InputTransferFunctionitk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >private
m_Layersitk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >protected
m_LearningFunctionitk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >protected
m_LearningRateitk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >protected
m_NumOfFirstHiddenNodesitk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >private
m_NumOfInputNodesitk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >private
m_NumOfOutputNodesitk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >private
m_OutputLayerBiasitk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >private
m_OutputTransferFunctionitk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >private
m_Radiiitk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >private
m_ReferenceCountitk::LightObjectmutableprotected
m_ReferenceCountLockitk::LightObjectmutableprotected
m_Weightsitk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >protected
MeasurementVectorType typedefitk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >
Modified() const itk::Objectvirtual
MultilayerNeuralNetworkBase()itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >protected
NetworkOutputType typedefitk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >
NeuralNetworkObject()itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >protected
New()itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >static
Object()itk::Objectprotected
Pointer typedefitk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >
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 itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >protectedvirtual
PrintTrailer(std::ostream &os, Indent indent) const itk::LightObjectprotectedvirtual
PropagateRequestedRegion()itk::DataObjectvirtual
PropagateResetPipeline()itk::DataObjectprotectedvirtual
RBFNetwork()itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >protected
RBFTransferFunctionType typedefitk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >
Register() const itk::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::RBFNetwork< TMeasurementVector, TTargetVector >
SetCenter(TMeasurementVector c)itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >
SetClasses(unsigned int _arg)itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >virtual
SetDebug(bool debugFlag) const itk::Object
SetDistanceMetric(DistanceMetricType *f)itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >
SetFirstHiddenLayerBias(ValueType _arg)itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >virtual
SetFirstHiddenTransferFunction(TransferFunctionInterfaceType *f)itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >
SetGlobalReleaseDataFlag(bool val)itk::DataObjectstatic
SetGlobalWarningDisplay(bool flag)itk::Objectstatic
SetInputFunction(InputFunctionInterfaceType *f)itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >
SetInputTransferFunction(TransferFunctionInterfaceType *f)itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >
SetLearningFunction(LearningFunctionInterfaceType *f)itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >
SetLearningRate(ValueType learningrate)itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >
SetLearningRule(LearningFunctionInterfaceType *)itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >
SetMetaDataDictionary(const MetaDataDictionary &rhs)itk::Object
SetNumOfFirstHiddenNodes(unsigned int _arg)itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >virtual
SetNumOfInputNodes(unsigned int _arg)itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >virtual
SetNumOfOutputNodes(unsigned int _arg)itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >virtual
SetOutputLayerBias(ValueType _arg)itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >virtual
SetOutputTransferFunction(TransferFunctionInterfaceType *f)itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >
SetPipelineMTime(ModifiedTimeType time)itk::DataObjectinline
SetRadius(ValueType r)itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >
SetRealTimeStamp(RealTimeStamp _arg)itk::DataObjectvirtual
SetReferenceCount(int)itk::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::RBFNetwork< TMeasurementVector, TTargetVector >
TargetVectorType typedefitk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >
TransferFunctionInterfaceType typedefitk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >
UnRegister() const itk::Objectvirtual
Update()itk::DataObjectvirtual
UpdateOutputData()itk::DataObjectvirtual
UpdateOutputInformation()itk::DataObjectvirtual
UpdateWeights(ValueType)itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >virtual
ValueType typedefitk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >
VerifyRequestedRegion()itk::DataObjectinlinevirtual
WeightVectorType typedefitk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >
~DataObject()itk::DataObjectprotected
~LightObject()itk::LightObjectprotectedvirtual
~MultilayerNeuralNetworkBase()itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >protected
~NeuralNetworkObject()itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >protectedvirtual
~Object()itk::Objectprotectedvirtual
~RBFNetwork()itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >inlineprotectedvirtual