Here is a list of all documented class members with links to the class documentation for each member:

- m -

• main_type : OpenNN::TrainingStrategy
• MainType : OpenNN::TrainingStrategy
• mathematical_model_pointer : OpenNN::PerformanceFunctional , OpenNN::PerformanceTerm , OpenNN::TestingAnalysis
• MathematicalModel() : OpenNN::MathematicalModel
• Matrix() : OpenNN::Matrix< T >
• maximum : OpenNN::Statistics< T >
• maximum_damping_parameter : OpenNN::LevenbergMarquardtAlgorithm
• maximum_generalization_performance_decreases : OpenNN::ConjugateGradient , OpenNN::EvolutionaryAlgorithm , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch
• maximum_generations_number : OpenNN::EvolutionaryAlgorithm
• maximum_iterations_number : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch
• maximum_time : OpenNN::ConjugateGradient , OpenNN::EvolutionaryAlgorithm , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch
• maximums : OpenNN::IndependentParameters
• mean : OpenNN::Statistics< T >
• mean_norm_history : OpenNN::EvolutionaryAlgorithm::EvolutionaryAlgorithmResults
• mean_performance_goal : OpenNN::EvolutionaryAlgorithm
• mean_performance_history : OpenNN::EvolutionaryAlgorithm::EvolutionaryAlgorithmResults
• mean_squared_error_objective_pointer : OpenNN::PerformanceFunctional
• means : OpenNN::IndependentParameters
• MeanSquaredError() : OpenNN::MeanSquaredError
• minimal_parameters : OpenNN::ModelSelection::ModelSelectionResults
• minimum : OpenNN::Statistics< T >
• minimum_damping_parameter : OpenNN::LevenbergMarquardtAlgorithm
• minimum_parameters_increment_norm : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod
• minimum_performance_increase : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod
• minimums : OpenNN::IndependentParameters
• Minkowski_error_objective_pointer : OpenNN::PerformanceFunctional
• Minkowski_parameter : OpenNN::MinkowskiError
• MinkowskiError() : OpenNN::MinkowskiError
• missing_values : OpenNN::DataSet
• missing_values_label : OpenNN::DataSet
• MissingValues() : OpenNN::MissingValues
• ModelSelection() : OpenNN::ModelSelection
• multilayer_perceptron_pointer : OpenNN::NeuralNetwork
• MultilayerPerceptron() : OpenNN::MultilayerPerceptron
• mutation_method : OpenNN::EvolutionaryAlgorithm
• mutation_range : OpenNN::EvolutionaryAlgorithm
• mutation_rate : OpenNN::EvolutionaryAlgorithm
• MutationMethod : OpenNN::EvolutionaryAlgorithm