ITK
4.6.0
Insight Segmentation and Registration Toolkit
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#include <itkOneHiddenLayerBackPropagationNeuralNetwork.h>
This is the itkOneHiddenLayerBackPropagationNeuralNetwork class.
Definition at line 44 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.
Public Types | |
typedef SmartPointer< const Self > | ConstPointer |
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 OneHiddenLayerBackPropagationNeuralNetwork | 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 SmartPointer< const Self > | ConstPointer |
typedef InputFunctionBase < ValueType *, ValueType > | InputFunctionInterfaceType |
typedef Superclass::LayerInterfaceType | LayerInterfaceType |
typedef std::vector< typename LayerInterfaceType::Pointer > | LayerVectorType |
typedef LearningFunctionBase < typename BackPropagationLayer < TMeasurementVector, TTargetVector > ::LayerInterfaceType, TTargetVector > | LearningFunctionInterfaceType |
typedef BackPropagationLayer < TMeasurementVector, TTargetVector > | LearningLayerType |
typedef Superclass::MeasurementVectorType | MeasurementVectorType |
typedef Superclass::NetworkOutputType | NetworkOutputType |
typedef SmartPointer< Self > | Pointer |
typedef MultilayerNeuralNetworkBase | Self |
typedef NeuralNetworkObject < TMeasurementVector, TTargetVector > | Superclass |
typedef Superclass::TargetVectorType | TargetVectorType |
typedef TransferFunctionBase < ValueType > | TransferFunctionInterfaceType |
typedef Superclass::ValueType | ValueType |
typedef std::vector< typename LayerInterfaceType::WeightSetInterfaceType::Pointer > | WeightVectorType |
Public Types inherited from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector > | |
typedef SmartPointer< const Self > | ConstPointer |
typedef LayerBase < TMeasurementVector, TTargetVector > | LayerInterfaceType |
typedef TMeasurementVector | MeasurementVectorType |
typedef Array< ValueType > | NetworkOutputType |
typedef SmartPointer< Self > | Pointer |
typedef NeuralNetworkObject | Self |
typedef DataObject | Superclass |
typedef TTargetVector | TargetVectorType |
typedef MeasurementVectorType::ValueType | ValueType |
Public Types inherited from itk::DataObject | |
typedef SmartPointer< const Self > | ConstPointer |
typedef std::string | DataObjectIdentifierType |
typedef std::vector< Pointer > ::size_type | DataObjectPointerArraySizeType |
typedef SmartPointer< Self > | Pointer |
typedef DataObject | Self |
typedef Object | Superclass |
Public Types inherited from itk::Object | |
typedef SmartPointer< const Self > | ConstPointer |
typedef SmartPointer< Self > | Pointer |
typedef Object | Self |
typedef LightObject | Superclass |
Public Types inherited from itk::LightObject | |
typedef SmartPointer< const Self > | ConstPointer |
typedef SmartPointer< Self > | Pointer |
typedef LightObject | Self |
Private Attributes | |
ValueType | m_FirstHiddenLayerBias |
TransferFunctionInterfaceType::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 |
virtual const char * | GetNameOfClass () const |
virtual ::itk::LightObject::Pointer | CreateAnother (void) const |
static Pointer | New () |
typedef SmartPointer<const Self> itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::ConstPointer |
Definition at line 52 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.
typedef Superclass::InputFunctionInterfaceType itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::InputFunctionInterfaceType |
Definition at line 68 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.
typedef Superclass::LayerInterfaceType itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::LayerInterfaceType |
Definition at line 59 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.
typedef Superclass::LayerVectorType itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::LayerVectorType |
Definition at line 63 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.
typedef Superclass::LearningLayerType itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::LearningLayerType |
Definition at line 60 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.
typedef Superclass::MeasurementVectorType itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::MeasurementVectorType |
Definition at line 55 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.
typedef Superclass::NetworkOutputType itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::NetworkOutputType |
Definition at line 57 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.
typedef SmartPointer<Self> itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::Pointer |
Definition at line 51 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.
typedef OneHiddenLayerBackPropagationNeuralNetwork itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::Self |
Definition at line 48 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.
typedef MultilayerNeuralNetworkBase<TMeasurementVector, TTargetVector, BackPropagationLayer<TMeasurementVector, TTargetVector> > itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::Superclass |
Definition at line 50 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.
typedef Superclass::TargetVectorType itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::TargetVectorType |
Definition at line 56 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.
typedef Superclass::TransferFunctionInterfaceType itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::TransferFunctionInterfaceType |
Definition at line 66 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.
typedef Superclass::ValueType itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::ValueType |
Definition at line 54 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.
typedef Superclass::WeightVectorType itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::WeightVectorType |
Definition at line 62 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.
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Definition at line 117 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.
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Method for creation through the object factory.
Reimplemented from itk::Object.
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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.
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Method for creation through the object factory.
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Method to print the object.
Reimplemented from itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >.
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void itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::SetFirstHiddenTransferFunction | ( | TransferFunctionInterfaceType * | f | ) |
void itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::SetInputFunction | ( | InputFunctionInterfaceType * | f | ) |
void itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::SetInputTransferFunction | ( | TransferFunctionInterfaceType * | f | ) |
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void itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >::SetOutputTransferFunction | ( | TransferFunctionInterfaceType * | f | ) |
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Definition at line 128 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.
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Definition at line 133 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.
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Definition at line 131 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.
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Definition at line 132 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.
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Definition at line 125 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.
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Definition at line 124 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.
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Definition at line 126 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.
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Definition at line 129 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.
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Definition at line 134 of file itkOneHiddenLayerBackPropagationNeuralNetwork.h.