ITK
4.1.0
Insight Segmentation and Registration Toolkit
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#include <itkQuickPropLearningRule.h>
Public Types | |
typedef SmartPointer< const Self > | ConstPointer |
typedef SmartPointer< Self > | Pointer |
typedef QuickPropLearningRule | Self |
typedef LearningFunctionBase < LayerType, TTargetVector > | Superclass |
typedef Superclass::ValueType | ValueType |
Public Member Functions | |
virtual ::itk::LightObject::Pointer | CreateAnother (void) const |
virtual const ValueType & | GetDecay () |
virtual const ValueType & | GetMax_Growth_Factor () |
virtual const char * | GetNameOfClass () const |
virtual void | Learn (LayerType *layer, ValueType learningrate) |
virtual void | Learn (LayerType *layer, TTargetVector errors, ValueType learningrate) |
virtual void | SetDecay (ValueType _arg) |
virtual void | SetMax_Growth_Factor (ValueType _arg) |
Static Public Member Functions | |
static Pointer | New () |
Protected Member Functions | |
virtual void | PrintSelf (std::ostream &os, Indent indent) const |
QuickPropLearningRule () | |
virtual | ~QuickPropLearningRule () |
Protected Attributes | |
ValueType | m_Decay |
ValueType | m_Epsilon |
ValueType | m_Max_Growth_Factor |
ValueType | m_Momentum |
ValueType | m_SigmoidPrimeOffset |
ValueType | m_SplitEpsilon |
ValueType | m_Threshold |
The QuickPropLearningRule is the base class for all the ErrorBackPropagationLearning strategies.
ErrorBackPropagationLearning strategies include error back propagation, bp+momentum, conjugte gradient descent, and quick prop.
This class specifies how the errors are backpropagated for a layer. They take a LayerBase object as input and compute the input for the layers input weightset.
Definition at line 43 of file itkQuickPropLearningRule.h.
typedef SmartPointer<const Self> itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >::ConstPointer |
Reimplemented from itk::Statistics::LearningFunctionBase< LayerType, TTargetVector >.
Definition at line 50 of file itkQuickPropLearningRule.h.
typedef SmartPointer<Self> itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >::Pointer |
Reimplemented from itk::Statistics::LearningFunctionBase< LayerType, TTargetVector >.
Definition at line 49 of file itkQuickPropLearningRule.h.
typedef QuickPropLearningRule itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >::Self |
Standard class typedefs.
Reimplemented from itk::Statistics::LearningFunctionBase< LayerType, TTargetVector >.
Definition at line 47 of file itkQuickPropLearningRule.h.
typedef LearningFunctionBase<LayerType, TTargetVector> itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >::Superclass |
Reimplemented from itk::Statistics::LearningFunctionBase< LayerType, TTargetVector >.
Definition at line 48 of file itkQuickPropLearningRule.h.
typedef Superclass::ValueType itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >::ValueType |
Reimplemented from itk::Statistics::LearningFunctionBase< LayerType, TTargetVector >.
Definition at line 56 of file itkQuickPropLearningRule.h.
itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >::QuickPropLearningRule | ( | ) | [protected] |
virtual itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >::~QuickPropLearningRule | ( | ) | [inline, protected, virtual] |
Definition at line 70 of file itkQuickPropLearningRule.h.
virtual::itk::LightObject::Pointer itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >::CreateAnother | ( | void | ) | const [virtual] |
Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.
Reimplemented from itk::LightProcessObject.
virtual const ValueType& itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >::GetDecay | ( | ) | [virtual] |
virtual const ValueType& itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >::GetMax_Growth_Factor | ( | ) | [virtual] |
virtual const char* itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >::GetNameOfClass | ( | ) | const [virtual] |
Method for creation through the object factory.
Reimplemented from itk::Statistics::LearningFunctionBase< LayerType, TTargetVector >.
virtual void itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >::Learn | ( | LayerType * | layer, |
ValueType | learningrate | ||
) | [virtual] |
virtual void itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >::Learn | ( | LayerType * | layer, |
TTargetVector | errors, | ||
ValueType | learningrate | ||
) | [virtual] |
static Pointer itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >::New | ( | ) | [static] |
Method for creation through the object factory.
Reimplemented from itk::LightProcessObject.
virtual void itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >::PrintSelf | ( | std::ostream & | os, |
Indent | indent | ||
) | const [protected, virtual] |
Method to print the object.
Reimplemented from itk::Statistics::LearningFunctionBase< LayerType, TTargetVector >.
virtual void itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >::SetDecay | ( | ValueType | _arg | ) | [virtual] |
virtual void itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >::SetMax_Growth_Factor | ( | ValueType | _arg | ) | [virtual] |
ValueType itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >::m_Decay [protected] |
Definition at line 74 of file itkQuickPropLearningRule.h.
ValueType itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >::m_Epsilon [protected] |
Definition at line 76 of file itkQuickPropLearningRule.h.
ValueType itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >::m_Max_Growth_Factor [protected] |
Definition at line 73 of file itkQuickPropLearningRule.h.
ValueType itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >::m_Momentum [protected] |
Definition at line 70 of file itkQuickPropLearningRule.h.
ValueType itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >::m_SigmoidPrimeOffset [protected] |
Definition at line 77 of file itkQuickPropLearningRule.h.
ValueType itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >::m_SplitEpsilon [protected] |
Definition at line 78 of file itkQuickPropLearningRule.h.
ValueType itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >::m_Threshold [protected] |
Definition at line 75 of file itkQuickPropLearningRule.h.