ITK  4.2.0
Insight Segmentation and Registration Toolkit
Classes
Module ITKNeuralNetworks
Group Numerics
+ Collaboration diagram for Module ITKNeuralNetworks:

Classes

class  itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >
 This is the itkBackPropagationLayer class. More...
class  itk::Statistics::BatchSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >
 This is the itkBatchSupervisedTrainingFunction class. More...
class  itk::Statistics::CompletelyConnectedWeightSet< TMeasurementVector, TTargetVector >
 This is the itkCompletelyConnectedWeightSet class. More...
class  itk::Statistics::ErrorBackPropagationLearningFunctionBase< LayerType, TTargetVector >
 The ErrorBackPropagationLearningFunctionBase is the base class for all the ErrorBackPropagationLearning strategies. More...
class  itk::Statistics::ErrorBackPropagationLearningWithMomentum< LayerType, TTargetVector >
 The ErrorBackPropagationLearningWithMomentum is the base class for all the ErrorBackPropagationLearning strategies. More...
class  itk::Statistics::ErrorFunctionBase< TMeasurementVector, TTargetVector >
 This is the itkErrorFunctionBase class. More...
class  itk::Statistics::GaussianRadialBasisFunction< ScalarType >
 This is the itkGaussianRadialBasisFunction class. More...
class  itk::Statistics::GaussianTransferFunction< ScalarType >
 This is the itkGaussianTransferFunction class. More...
class  itk::Statistics::HardLimitTransferFunction< ScalarType >
 This is the itkHardLimitTransferFunction class. More...
class  itk::Statistics::IdentityTransferFunction< ScalarType >
 This is the itkIdentityTransferFunction class. More...
class  itk::Statistics::InputFunctionBase< TMeasurementVector, TTargetVector >
 This is the itkInputFunctionBase class. More...
class  itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >
 This is the itkIterativeSupervisedTrainingFunction class. More...
class  itk::Statistics::LayerBase< TMeasurementVector, TTargetVector >
 This is the itkLayerBase class. More...
class  itk::Statistics::LearningFunctionBase< LayerType, TTargetVector >
 The LearningFunctionBase is the base class for all the learning strategies. More...
class  itk::Statistics::LogSigmoidTransferFunction< ScalarType >
 This is the itkLogSigmoidTransferFunction class. More...
class  MeanSquaredErrorFunction_
 This is the itkMeanSquaredErrorFunction_ class. More...
class  itk::Statistics::MultilayerNeuralNetworkBase< TMeasurementVector, TTargetVector, TLearningLayer >
 This is the itkMultilayerNeuralNetworkBase class. More...
class  itk::Statistics::MultiquadricRadialBasisFunction< ScalarType >
 This is the itkMultiquadricRadialBasisFunction class. More...
class  itk::Statistics::NeuralNetworkObject< TMeasurementVector, TTargetVector >
 This is the itkNeuralNetworkObject class. More...
class  itk::Statistics::NNetDistanceMetricBase< TMeasurementVector >
 This is the itkNNetDistanceMetricBase class. More...
class  itk::Statistics::OneHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >
 This is the itkOneHiddenLayerBackPropagationNeuralNetwork class. More...
class  itk::Statistics::ProductInputFunction< TMeasurementVector, ScalarType >
 This is the itkProductInputFunction class. More...
class  itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >
 The QuickPropLearningRule is the base class for all the ErrorBackPropagationLearning strategies. More...
class  itk::Statistics::RadialBasisFunctionBase< ScalarType >
 This is the itkRadialBasisFunctionBase class. More...
class  itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector >
 This is the itkRBFBackPropagationLearningFunction class. More...
class  itk::Statistics::RBFLayer< TMeasurementVector, TTargetVector >
 This is the itkRBFLayer class. More...
class  itk::Statistics::RBFNetwork< TMeasurementVector, TTargetVector >
 This is the itkRBFNetwork class. More...
class  itk::Statistics::SigmoidTransferFunction< ScalarType >
 This is the itkSigmoidTransferFunction class. More...
class  itk::Statistics::SignedHardLimitTransferFunction< ScalarType >
 This is the itkSignedHardLimitTransferFunction class. More...
class  itk::Statistics::SquaredDifferenceErrorFunction< TMeasurementVector, ScalarType >
 This is the itkSquaredDifferenceErrorFunction class. More...
class  itk::Statistics::SumInputFunction< TMeasurementVector, ScalarType >
 This is the itkSumInputFunction class. More...
class  itk::Statistics::SymmetricSigmoidTransferFunction< ScalarType >
 This is the itkSymmetricSigmoidTransferFunction class. More...
class  itk::Statistics::TanHTransferFunction< ScalarType >
 This is the itkTanHTransferFunction class. More...
class  itk::Statistics::TanSigmoidTransferFunction< ScalarType >
 This is the itkTanSigmoidTransferFunction class. More...
class  itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >
 This is the itkTrainingFunctionBase class. More...
class  itk::Statistics::TransferFunctionBase< ScalarType >
 This is the itkTransferFunctionBase class. More...
class  itk::Statistics::TwoHiddenLayerBackPropagationNeuralNetwork< TMeasurementVector, TTargetVector >
 This is the itkTwoHiddenLayerBackPropagationNeuralNetwork class. More...
class  itk::Statistics::WeightSetBase< TMeasurementVector, TTargetVector >
 This is the itkWeightSetBase class. More...

Detailed Description

This module contains classes and support classes for the calculation of artificial neural networks. This can be used, for instance, for image classification.

Dependencies: