ITK
4.1.0
Insight Segmentation and Registration Toolkit
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#include <itkRBFNetwork.h>
This is the itkRBFNetwork class.
Definition at line 47 of file itkRBFNetwork.h.
typedef Array<ValueType> itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::ArrayType |
Definition at line 72 of file itkRBFNetwork.h.
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.
typedef EuclideanDistanceMetric<ArrayType> itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::DistanceMetricType |
Definition at line 73 of file itkRBFNetwork.h.
typedef RBFLayer<TMeasurementVector, TTargetVector> itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::HiddenLayerType |
Definition at line 75 of file itkRBFNetwork.h.
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.
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.
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.
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.
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.
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.
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.
typedef RadialBasisFunctionBase<ValueType> itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::RBFTransferFunctionType |
Definition at line 74 of file itkRBFNetwork.h.
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.
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.
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.
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.
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.
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.
itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::RBFNetwork | ( | ) | [protected] |
virtual itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::~RBFNetwork | ( | ) | [inline, protected, virtual] |
Definition at line 130 of file itkRBFNetwork.h.
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 > >.
virtual NetworkOutputType itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::GenerateOutput | ( | TMeasurementVector | samplevector | ) | [virtual] |
virtual const unsigned int& itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::GetClasses | ( | ) | [virtual] |
virtual const ValueType& itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::GetFirstHiddenLayerBias | ( | ) | [virtual] |
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 > >.
virtual const unsigned int& itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::GetNumOfFirstHiddenNodes | ( | ) | [virtual] |
virtual const unsigned int& itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::GetNumOfInputNodes | ( | ) | [virtual] |
virtual const unsigned int& itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::GetNumOfOutputNodes | ( | ) | [virtual] |
virtual const ValueType& itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::GetOutputLayerBias | ( | ) | [virtual] |
void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::Initialize | ( | ) | [virtual] |
Restore the data object to its initial state. This means releasing memory.
Reimplemented from itk::DataObject.
void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::InitializeWeights | ( | ) |
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 > >.
virtual void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::PrintSelf | ( | std::ostream & | os, |
Indent | indent | ||
) | const [protected, virtual] |
Method to print the object.
Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.
void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetCenter | ( | TMeasurementVector | c | ) |
virtual void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetClasses | ( | unsigned int | _arg | ) | [virtual] |
void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetDistanceMetric | ( | DistanceMetricType * | f | ) |
virtual void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetFirstHiddenLayerBias | ( | ValueType | _arg | ) | [virtual] |
void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetFirstHiddenTransferFunction | ( | TransferFunctionInterfaceType * | f | ) |
void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetInputFunction | ( | InputFunctionInterfaceType * | f | ) |
void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetInputTransferFunction | ( | TransferFunctionInterfaceType * | f | ) |
virtual void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetNumOfFirstHiddenNodes | ( | unsigned int | _arg | ) | [virtual] |
virtual void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetNumOfInputNodes | ( | unsigned int | _arg | ) | [virtual] |
virtual void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetNumOfOutputNodes | ( | unsigned int | _arg | ) | [virtual] |
virtual void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetOutputLayerBias | ( | ValueType | _arg | ) | [virtual] |
void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetOutputTransferFunction | ( | TransferFunctionInterfaceType * | f | ) |
void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetRadius | ( | ValueType | r | ) |
std::vector<TMeasurementVector> itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::m_Centers [private] |
Definition at line 138 of file itkRBFNetwork.h.
unsigned int itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::m_Classes [private] |
Definition at line 141 of file itkRBFNetwork.h.
DistanceMetricType::Pointer itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::m_DistanceMetric [private] |
Definition at line 137 of file itkRBFNetwork.h.
ValueType itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::m_FirstHiddenLayerBias [private] |
Definition at line 146 of file itkRBFNetwork.h.
RBFTransferFunctionType::Pointer itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::m_FirstHiddenTransferFunction [private] |
Definition at line 151 of file itkRBFNetwork.h.
InputFunctionInterfaceType::Pointer itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::m_InputFunction [private] |
Definition at line 149 of file itkRBFNetwork.h.
TransferFunctionInterfaceType::Pointer itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::m_InputTransferFunction [private] |
Definition at line 150 of file itkRBFNetwork.h.
unsigned int itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::m_NumOfFirstHiddenNodes [private] |
Definition at line 143 of file itkRBFNetwork.h.
unsigned int itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::m_NumOfInputNodes [private] |
Definition at line 142 of file itkRBFNetwork.h.
unsigned int itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::m_NumOfOutputNodes [private] |
Definition at line 144 of file itkRBFNetwork.h.
ValueType itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::m_OutputLayerBias [private] |
Definition at line 147 of file itkRBFNetwork.h.
TransferFunctionInterfaceType::Pointer itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::m_OutputTransferFunction [private] |
Definition at line 152 of file itkRBFNetwork.h.
std::vector<double> itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::m_Radii [private] |
Definition at line 139 of file itkRBFNetwork.h.