ITK
4.1.0
Insight Segmentation and Registration Toolkit
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#include <itkMultilayerNeuralNetworkBase.h>
This is the itkMultilayerNeuralNetworkBase class.
Definition at line 34 of file itkMultilayerNeuralNetworkBase.h.
typedef SmartPointer<const Self> itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::ConstPointer |
Reimplemented from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.
Reimplemented in itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >.
Definition at line 42 of file itkMultilayerNeuralNetworkBase.h.
typedef InputFunctionBase<ValueType*, ValueType> itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::InputFunctionInterfaceType |
Reimplemented in itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >.
Definition at line 66 of file itkMultilayerNeuralNetworkBase.h.
typedef Superclass::LayerInterfaceType itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::LayerInterfaceType |
Reimplemented from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.
Reimplemented in itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >.
Definition at line 54 of file itkMultilayerNeuralNetworkBase.h.
typedef std::vector<typename LayerInterfaceType::Pointer> itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::LayerVectorType |
Reimplemented in itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >.
Definition at line 63 of file itkMultilayerNeuralNetworkBase.h.
typedef LearningFunctionBase<typename TLearningLayer::LayerInterfaceType, TTargetVector> itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::LearningFunctionInterfaceType |
Definition at line 58 of file itkMultilayerNeuralNetworkBase.h.
typedef TLearningLayer itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::LearningLayerType |
Reimplemented in itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >.
Definition at line 56 of file itkMultilayerNeuralNetworkBase.h.
typedef Superclass::MeasurementVectorType itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::MeasurementVectorType |
Reimplemented from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.
Reimplemented in itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >.
Definition at line 50 of file itkMultilayerNeuralNetworkBase.h.
typedef Superclass::NetworkOutputType itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::NetworkOutputType |
Reimplemented from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.
Reimplemented in itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >.
Definition at line 52 of file itkMultilayerNeuralNetworkBase.h.
typedef SmartPointer<Self> itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::Pointer |
Reimplemented from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.
Reimplemented in itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >.
Definition at line 41 of file itkMultilayerNeuralNetworkBase.h.
typedef MultilayerNeuralNetworkBase itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::Self |
Standard class typedefs.
Reimplemented from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.
Reimplemented in itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >.
Definition at line 38 of file itkMultilayerNeuralNetworkBase.h.
typedef NeuralNetworkObject<TMeasurementVector, TTargetVector> itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::Superclass |
Reimplemented from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.
Reimplemented in itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >.
Definition at line 40 of file itkMultilayerNeuralNetworkBase.h.
typedef Superclass::TargetVectorType itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::TargetVectorType |
Reimplemented from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.
Reimplemented in itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >.
Definition at line 51 of file itkMultilayerNeuralNetworkBase.h.
typedef TransferFunctionBase<ValueType> itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::TransferFunctionInterfaceType |
Reimplemented in itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >.
Definition at line 65 of file itkMultilayerNeuralNetworkBase.h.
typedef Superclass::ValueType itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::ValueType |
Reimplemented from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.
Reimplemented in itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >.
Definition at line 47 of file itkMultilayerNeuralNetworkBase.h.
typedef std::vector<typename LayerInterfaceType::WeightSetInterfaceType::Pointer> itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::WeightVectorType |
Reimplemented in itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >.
Definition at line 61 of file itkMultilayerNeuralNetworkBase.h.
itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::MultilayerNeuralNetworkBase | ( | ) | [protected] |
itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::~MultilayerNeuralNetworkBase | ( | ) | [protected] |
void itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::AddLayer | ( | LayerInterfaceType * | ) |
void itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::AddWeightSet | ( | typename LayerInterfaceType::WeightSetInterfaceType * | ) |
virtual void itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::BackwardPropagate | ( | NetworkOutputType | errors | ) | [virtual] |
virtual::itk::LightObject::Pointer itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::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::Object.
Reimplemented in itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >.
virtual NetworkOutputType itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::GenerateOutput | ( | TMeasurementVector | samplevector | ) | [virtual] |
Implements itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.
Reimplemented in itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, and itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >.
LayerInterfaceType* itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::GetLayer | ( | int | layer_id | ) |
const LayerInterfaceType* itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::GetLayer | ( | int | layer_id | ) | const |
virtual const char* itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::GetNameOfClass | ( | ) | const [virtual] |
Run-time type information (and related methods).
Reimplemented from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.
Reimplemented in itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >.
int itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::GetNumOfLayers | ( | void | ) | const [inline] |
Definition at line 76 of file itkMultilayerNeuralNetworkBase.h.
int itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::GetNumOfWeightSets | ( | void | ) | const [inline] |
Definition at line 80 of file itkMultilayerNeuralNetworkBase.h.
LayerInterfaceType::WeightSetInterfaceType* itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::GetWeightSet | ( | unsigned int | id | ) | [inline] |
Definition at line 92 of file itkMultilayerNeuralNetworkBase.h.
void itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::InitializeWeights | ( | ) |
Reimplemented in itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >.
static Pointer itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::New | ( | ) | [static] |
New macro for creation of through a Smart Pointer.
Reimplemented from itk::Object.
Reimplemented in itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, and itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >.
virtual void itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::PrintSelf | ( | std::ostream & | os, |
Indent | indent | ||
) | const [protected, virtual] |
Method to print the object.
Reimplemented from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.
Reimplemented in itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >, itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >, and itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >.
void itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::SetLearningFunction | ( | LearningFunctionInterfaceType * | f | ) |
void itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::SetLearningRate | ( | ValueType | learningrate | ) |
void itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::SetLearningRule | ( | LearningFunctionInterfaceType * | ) |
virtual void itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::UpdateWeights | ( | ValueType | ) | [virtual] |
LayerVectorType itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::m_Layers [protected] |
LearningFunctionInterfaceType::Pointer itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::m_LearningFunction [protected] |
Definition at line 119 of file itkMultilayerNeuralNetworkBase.h.
ValueType itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::m_LearningRate [protected] |
Reimplemented from itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >.
Definition at line 120 of file itkMultilayerNeuralNetworkBase.h.
WeightVectorType itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >::m_Weights [protected] |
Definition at line 118 of file itkMultilayerNeuralNetworkBase.h.
Referenced by itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >::GetNumOfWeightSets(), and itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, BackPropagationLayer< TMeasurementVector, TTargetVector > >::GetWeightSet().