- a -

• ActivationFunction : OpenNN::Perceptron
• AngularUnits : OpenNN::DataSet

- b -

• BoundingMethod : OpenNN::BoundingLayer , OpenNN::IndependentParameters

- c -

• ConditionsMethod : OpenNN::ConditionsLayer
• ConstraintsType : OpenNN::PerformanceFunctional

- f -

• FitnessAssignmentMethod : OpenNN::EvolutionaryAlgorithm

- i -

• InitializationType : OpenNN::TrainingStrategy
• InputMethod : OpenNN::PlugIn
• InputsSelectionMethod : OpenNN::ModelSelection
• InverseHessianApproximationMethod : OpenNN::QuasiNewtonMethod

- m -

• MainType : OpenNN::TrainingStrategy
• MutationMethod : OpenNN::EvolutionaryAlgorithm

- n -

• NumericalDifferentiationMethod : OpenNN::NumericalDifferentiation
• NumericalIntegrationMethod : OpenNN::NumericalIntegration

- o -

• ObjectiveType : OpenNN::PerformanceFunctional

- p -

• ProbabilisticMethod : OpenNN::ProbabilisticLayer

- r -

• RecombinationMethod : OpenNN::EvolutionaryAlgorithm
• RefinementType : OpenNN::TrainingStrategy
• RegularizationType : OpenNN::PerformanceFunctional

- s -

• ScalingMethod : OpenNN::IndependentParameters , OpenNN::ScalingLayer
• ScalingUnscalingMethod : OpenNN::DataSet
• ScrubbingMethod : OpenNN::MissingValues
• SelectionMethod : OpenNN::EvolutionaryAlgorithm
• Separator : OpenNN::DataSet
• SolutionMethod : OpenNN::OrdinaryDifferentialEquations
• SolutionsErrorMethod : OpenNN::SolutionsError
• SplittingMethod : OpenNN::Instances

- t -

• TrainingDirectionMethod : OpenNN::ConjugateGradient
• TrainingRateMethod : OpenNN::TrainingRateAlgorithm

- u -

• UnknownsMethod : OpenNN::InverseSumSquaredError
• UnscalingMethod : OpenNN::UnscalingLayer
• Use : OpenNN::Instances , OpenNN::Variables