ITK
4.2.0
Insight Segmentation and Registration Toolkit
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#include <itkRBFNetwork.h>
Public Types | |
typedef Array< ValueType > | ArrayType |
typedef SmartPointer< const Self > | ConstPointer |
typedef EuclideanDistanceMetric < ArrayType > | DistanceMetricType |
typedef RBFLayer < TMeasurementVector, TTargetVector > | HiddenLayerType |
typedef Superclass::InputFunctionInterfaceType | InputFunctionInterfaceType |
typedef Superclass::LayerInterfaceType | LayerInterfaceType |
typedef Superclass::LayerVectorType | LayerVectorType |
typedef Superclass::LearningLayerType | LearningLayerType |
typedef Superclass::MeasurementVectorType | MeasurementVectorType |
typedef Superclass::NetworkOutputType | NetworkOutputType |
typedef SmartPointer< Self > | Pointer |
typedef RadialBasisFunctionBase < ValueType > | RBFTransferFunctionType |
typedef RBFNetwork | Self |
typedef MultilayerNeuralNetworkBase < TMeasurementVector, TTargetVector, BackPropagationLayer < TMeasurementVector, TTargetVector > > | Superclass |
typedef Superclass::TargetVectorType | TargetVectorType |
typedef Superclass::TransferFunctionInterfaceType | TransferFunctionInterfaceType |
typedef Superclass::ValueType | ValueType |
typedef Superclass::WeightVectorType | WeightVectorType |
Public Types inherited from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > > | |
typedef LearningFunctionBase < typename BackPropagationLayer < TMeasurementVector, TTargetVector > ::LayerInterfaceType, TTargetVector > | LearningFunctionInterfaceType |
Public Types inherited from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector > | |
Public Types inherited from itk::DataObject | |
typedef std::string | DataObjectIdentifierType |
typedef std::vector< Pointer > ::size_type | DataObjectPointerArraySizeType |
Public Types inherited from itk::Object | |
Public Types inherited from itk::LightObject |
Private Attributes | |
std::vector< TMeasurementVector > | m_Centers |
unsigned int | m_Classes |
DistanceMetricType::Pointer | m_DistanceMetric |
ValueType | m_FirstHiddenLayerBias |
RBFTransferFunctionType::Pointer | m_FirstHiddenTransferFunction |
InputFunctionInterfaceType::Pointer | m_InputFunction |
TransferFunctionInterfaceType::Pointer | m_InputTransferFunction |
unsigned int | m_NumOfFirstHiddenNodes |
unsigned int | m_NumOfInputNodes |
unsigned int | m_NumOfOutputNodes |
ValueType | m_OutputLayerBias |
TransferFunctionInterfaceType::Pointer | m_OutputTransferFunction |
std::vector< double > | m_Radii |
virtual const char * | GetNameOfClass () const |
virtual ::itk::LightObject::Pointer | CreateAnother (void) const |
static Pointer | New () |
Additional Inherited Members | |
Protected Attributes inherited from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > > | |
LayerVectorType | m_Layers |
LearningFunctionInterfaceType::Pointer | m_LearningFunction |
ValueType | m_LearningRate |
WeightVectorType | m_Weights |
Protected Attributes inherited from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector > |
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.
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Definition at line 130 of file itkRBFNetwork.h.
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Method for creation through the object factory.
Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.
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Method for creation through the object factory.
Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.
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Restore the data object to its initial state. This means releasing memory.
Reimplemented from itk::DataObject.
void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::InitializeWeights | ( | ) |
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Method for creation through the object factory.
Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.
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Method to print the object.
Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.
void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetCenter | ( | TMeasurementVector | c | ) |
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void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetDistanceMetric | ( | DistanceMetricType * | f | ) |
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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 | ) |
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void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetOutputTransferFunction | ( | TransferFunctionInterfaceType * | f | ) |
void itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >::SetRadius | ( | ValueType | r | ) |
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Definition at line 138 of file itkRBFNetwork.h.
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Definition at line 141 of file itkRBFNetwork.h.
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Definition at line 137 of file itkRBFNetwork.h.
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Definition at line 146 of file itkRBFNetwork.h.
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Definition at line 151 of file itkRBFNetwork.h.
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Definition at line 149 of file itkRBFNetwork.h.
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Definition at line 150 of file itkRBFNetwork.h.
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Definition at line 143 of file itkRBFNetwork.h.
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Definition at line 142 of file itkRBFNetwork.h.
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Definition at line 144 of file itkRBFNetwork.h.
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Definition at line 147 of file itkRBFNetwork.h.
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Definition at line 152 of file itkRBFNetwork.h.
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Definition at line 139 of file itkRBFNetwork.h.