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

- s -

• save() : OpenNN::DataSet , OpenNN::MathematicalModel , OpenNN::Matrix< T > , OpenNN::ModelSelection , OpenNN::NeuralNetwork , OpenNN::PerformanceFunctional , OpenNN::Statistics< T > , OpenNN::TestingAnalysis::LinearRegressionResults , OpenNN::TestingAnalysis , OpenNN::TrainingAlgorithm , OpenNN::TrainingStrategy::Results , OpenNN::TrainingStrategy , OpenNN::Vector< T >
• save_csv() : OpenNN::Matrix< T >
• save_data() : OpenNN::DataSet , OpenNN::MathematicalModel , OpenNN::NeuralNetwork , OpenNN::OrdinaryDifferentialEquations
• save_expression() : OpenNN::NeuralNetwork
• save_parameters() : OpenNN::NeuralNetwork
• save_period : OpenNN::TrainingAlgorithm
• scale_columns_mean_standard_deviation() : OpenNN::Matrix< T >
• scale_columns_minimum_maximum() : OpenNN::Matrix< T >
• scale_data() : OpenNN::DataSet
• scale_data_mean_standard_deviation() : OpenNN::DataSet
• scale_data_minimum_maximum() : OpenNN::DataSet
• scale_inputs() : OpenNN::DataSet
• scale_inputs_mean_standard_deviation() : OpenNN::DataSet
• scale_inputs_minimum_maximum() : OpenNN::DataSet
• scale_mean_standard_deviation() : OpenNN::Matrix< T > , OpenNN::Vector< T >
• scale_minimum_maximum() : OpenNN::Matrix< T > , OpenNN::Vector< T >
• scale_rows_mean_standard_deviation() : OpenNN::Matrix< T >
• scale_rows_minimum_maximum() : OpenNN::Matrix< T >
• scale_targets() : OpenNN::DataSet
• scale_targets_mean_standard_deviation() : OpenNN::DataSet
• scale_targets_minimum_maximum() : OpenNN::DataSet
• scaling_layer_pointer : OpenNN::NeuralNetwork
• scaling_method : OpenNN::IndependentParameters , OpenNN::ScalingLayer
• ScalingLayer() : OpenNN::ScalingLayer
• ScalingMethod : OpenNN::IndependentParameters , OpenNN::ScalingLayer
• ScalingUnscalingMethod : OpenNN::DataSet
• script_file_name : OpenNN::PlugIn
• scrub_missing_values() : OpenNN::DataSet
• scrub_missing_values_mean() : OpenNN::DataSet
• scrub_missing_values_unuse() : OpenNN::DataSet
• scrubbing_method : OpenNN::MissingValues
• ScrubbingMethod : OpenNN::MissingValues
• selection : OpenNN::EvolutionaryAlgorithm
• selection_method : OpenNN::EvolutionaryAlgorithm
• SelectionMethod : OpenNN::EvolutionaryAlgorithm
• selective_pressure : OpenNN::EvolutionaryAlgorithm
• Separator : OpenNN::DataSet
• separator : OpenNN::DataSet
• set() : OpenNN::BoundingLayer , OpenNN::ConditionsLayer , OpenNN::DataSet , OpenNN::EvolutionaryAlgorithm , OpenNN::FinalSolutionsError , OpenNN::IndependentParameters , OpenNN::Inputs , OpenNN::Instances , OpenNN::MathematicalModel , OpenNN::Matrix< T > , OpenNN::MissingValues , OpenNN::MultilayerPerceptron , OpenNN::NeuralNetwork , OpenNN::NumericalDifferentiation , OpenNN::NumericalIntegration , OpenNN::OrdinaryDifferentialEquations , OpenNN::Outputs , OpenNN::Perceptron , OpenNN::PerceptronLayer , OpenNN::PerformanceTerm , OpenNN::ProbabilisticLayer , OpenNN::ScalingLayer , OpenNN::TrainingAlgorithm , OpenNN::TrainingRateAlgorithm , OpenNN::TrainingStrategy , OpenNN::UnscalingLayer , OpenNN::Variables , OpenNN::Vector< T >
• set_activation_function() : OpenNN::Perceptron , OpenNN::PerceptronLayer
• set_angular_units() : OpenNN::DataSet
• set_angular_variables() : OpenNN::DataSet
• set_assays_numbers() : OpenNN::ModelSelection
• set_autoassociation() : OpenNN::DataSet
• set_best_performance_goal() : OpenNN::EvolutionaryAlgorithm
• set_bias() : OpenNN::Perceptron
• set_biases() : OpenNN::PerceptronLayer
• set_bounding_layer_pointer() : OpenNN::NeuralNetwork
• set_bounding_method() : OpenNN::IndependentParameters
• set_bounds() : OpenNN::BoundingLayer , OpenNN::IndependentParameters
• set_bracketing_factor() : OpenNN::TrainingRateAlgorithm
• set_column() : OpenNN::Matrix< T >
• set_columns_number() : OpenNN::Matrix< T >
• set_conditions_layer_pointer() : OpenNN::NeuralNetwork
• set_conditions_method() : OpenNN::ConditionsLayer
• set_conditions_neurons_number() : OpenNN::ConditionsLayer
• set_constraints_type() : OpenNN::PerformanceFunctional
• set_damping_parameter() : OpenNN::LevenbergMarquardtAlgorithm
• set_damping_parameter_factor() : OpenNN::LevenbergMarquardtAlgorithm
• set_data() : OpenNN::DataSet
• set_data_file_name() : OpenNN::DataSet
• set_data_set_pointer() : OpenNN::PerformanceFunctional , OpenNN::PerformanceTerm , OpenNN::TestingAnalysis
• set_default() : OpenNN::BoundingLayer , OpenNN::ConditionsLayer , OpenNN::ConjugateGradient , OpenNN::DataSet , OpenNN::EvolutionaryAlgorithm , OpenNN::FinalSolutionsError , OpenNN::GradientDescent , OpenNN::IndependentParameters , OpenNN::IndependentParametersError , OpenNN::Inputs , OpenNN::Instances , OpenNN::InverseSumSquaredError , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::MathematicalModel , OpenNN::MinkowskiError , OpenNN::MissingValues , OpenNN::ModelSelection , OpenNN::MultilayerPerceptron , OpenNN::NeuralNetwork , OpenNN::NeuralParametersNorm , OpenNN::NewtonMethod , OpenNN::NumericalDifferentiation , OpenNN::NumericalIntegration , OpenNN::OrdinaryDifferentialEquations , OpenNN::Outputs , OpenNN::OutputsIntegrals , OpenNN::PerceptronLayer , OpenNN::PerformanceFunctional , OpenNN::PerformanceTerm , OpenNN::PlugIn , OpenNN::ProbabilisticLayer , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch , OpenNN::ScalingLayer , OpenNN::SolutionsError , OpenNN::TestingAnalysis , OpenNN::TrainingAlgorithm , OpenNN::TrainingRateAlgorithm , OpenNN::TrainingStrategy , OpenNN::UnscalingLayer , OpenNN::Variables
• set_default_uses() : OpenNN::Variables
• set_dependent_variables_number() : OpenNN::MathematicalModel
• set_description() : OpenNN::IndependentParameters , OpenNN::Inputs , OpenNN::Outputs , OpenNN::Variables
• set_descriptions() : OpenNN::IndependentParameters , OpenNN::Inputs , OpenNN::Outputs , OpenNN::Variables
• set_diagonal() : OpenNN::Matrix< T >
• set_display() : OpenNN::BoundingLayer , OpenNN::ConditionsLayer , OpenNN::DataSet , OpenNN::IndependentParameters , OpenNN::Inputs , OpenNN::Instances , OpenNN::MathematicalModel , OpenNN::MissingValues , OpenNN::ModelSelection , OpenNN::MultilayerPerceptron , OpenNN::NeuralNetwork , OpenNN::NumericalDifferentiation , OpenNN::NumericalIntegration , OpenNN::Outputs , OpenNN::Perceptron , OpenNN::PerceptronLayer , OpenNN::PerformanceFunctional , OpenNN::PerformanceTerm , OpenNN::ProbabilisticLayer , OpenNN::ScalingLayer , OpenNN::TestingAnalysis , OpenNN::TrainingAlgorithm , OpenNN::TrainingRateAlgorithm , OpenNN::TrainingStrategy , OpenNN::UnscalingLayer , OpenNN::Variables
• set_display_period() : OpenNN::ConjugateGradient , OpenNN::EvolutionaryAlgorithm , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch , OpenNN::TrainingAlgorithm
• set_elitism_size() : OpenNN::EvolutionaryAlgorithm
• set_error_gradient_norm() : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod
• set_error_parameters_norm() : OpenNN::ConjugateGradient , OpenNN::EvolutionaryAlgorithm , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch
• set_error_size() : OpenNN::OrdinaryDifferentialEquations
• set_error_training_rate() : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch , OpenNN::TrainingRateAlgorithm
• set_external_input_value() : OpenNN::ConditionsLayer
• set_external_input_values() : OpenNN::ConditionsLayer
• set_external_inputs_number() : OpenNN::ConditionsLayer
• set_final_independent_variable() : OpenNN::OrdinaryDifferentialEquations
• set_final_solution_error_weight() : OpenNN::FinalSolutionsError
• set_final_solutions_errors_weights() : OpenNN::FinalSolutionsError
• set_first_training_rate() : OpenNN::RandomSearch
• set_fitness() : OpenNN::EvolutionaryAlgorithm
• set_fitness_assignment_method() : OpenNN::EvolutionaryAlgorithm
• set_from_data_file() : OpenNN::DataSet
• set_generalization() : OpenNN::Instances
• set_gradient_norm_goal() : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod
• set_header_line() : OpenNN::DataSet
• set_hidden_perceptrons_numbers() : OpenNN::ModelSelection
• set_identity() : OpenNN::Matrix< T >
• set_independent_parameter_error_weight() : OpenNN::IndependentParametersError
• set_independent_parameters_errors_weights() : OpenNN::IndependentParametersError
• set_independent_parameters_pointer() : OpenNN::NeuralNetwork
• set_independent_variables_number() : OpenNN::MathematicalModel
• set_individual() : OpenNN::EvolutionaryAlgorithm
• set_information() : OpenNN::Inputs , OpenNN::Outputs
• set_initial_dependent_variable() : OpenNN::OrdinaryDifferentialEquations
• set_initial_dependent_variables() : OpenNN::OrdinaryDifferentialEquations
• set_initial_independent_variable() : OpenNN::OrdinaryDifferentialEquations
• set_initial_size() : OpenNN::OrdinaryDifferentialEquations
• set_initialization_type() : OpenNN::TrainingStrategy
• set_input() : OpenNN::Variables
• set_input_file_name() : OpenNN::PlugIn
• set_input_flags() : OpenNN::PlugIn
• set_input_method() : OpenNN::PlugIn
• set_inputs_number() : OpenNN::Inputs , OpenNN::MultilayerPerceptron , OpenNN::Perceptron , OpenNN::PerceptronLayer
• set_inputs_pointer() : OpenNN::NeuralNetwork
• set_inputs_selection_method() : OpenNN::ModelSelection
• set_instance() : OpenNN::DataSet
• set_instances_number() : OpenNN::DataSet , OpenNN::Instances , OpenNN::MissingValues
• set_inverse_Hessian_approximation_method() : OpenNN::QuasiNewtonMethod
• set_item() : OpenNN::MissingValues
• set_item_statistics() : OpenNN::ScalingLayer , OpenNN::UnscalingLayer
• set_items() : OpenNN::MissingValues , OpenNN::Variables
• set_lags_number() : OpenNN::DataSet
• set_layer_activation_function() : OpenNN::MultilayerPerceptron
• set_layer_perceptrons_number() : OpenNN::MultilayerPerceptron
• set_layers() : OpenNN::MultilayerPerceptron
• set_layers_activation_function() : OpenNN::MultilayerPerceptron
• set_layers_biases() : OpenNN::MultilayerPerceptron
• set_layers_parameters() : OpenNN::MultilayerPerceptron
• set_layers_perceptrons_number() : OpenNN::MultilayerPerceptron
• set_layers_synaptic_weights() : OpenNN::MultilayerPerceptron
• set_lower_bound() : OpenNN::BoundingLayer , OpenNN::IndependentParameters
• set_lower_bounds() : OpenNN::BoundingLayer , OpenNN::IndependentParameters
• set_main_type() : OpenNN::TrainingStrategy
• set_mathematical_model_pointer() : OpenNN::FinalSolutionsError , OpenNN::PerformanceFunctional , OpenNN::PerformanceTerm , OpenNN::TestingAnalysis
• set_maximum() : OpenNN::IndependentParameters , OpenNN::ScalingLayer , OpenNN::Statistics< T > , OpenNN::UnscalingLayer
• set_maximum_damping_parameter() : OpenNN::LevenbergMarquardtAlgorithm
• set_maximum_generalization_performance_decreases() : OpenNN::ConjugateGradient , OpenNN::EvolutionaryAlgorithm , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch
• set_maximum_generations_number() : OpenNN::EvolutionaryAlgorithm
• set_maximum_iterations_number() : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch
• set_maximum_time() : OpenNN::ConjugateGradient , OpenNN::EvolutionaryAlgorithm , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch
• set_maximums() : OpenNN::IndependentParameters
• set_mean() : OpenNN::IndependentParameters , OpenNN::ScalingLayer , OpenNN::Statistics< T > , OpenNN::UnscalingLayer
• set_mean_performance_goal() : OpenNN::EvolutionaryAlgorithm
• set_means() : OpenNN::IndependentParameters
• set_means_standard_deviations() : OpenNN::IndependentParameters
• set_minimum() : OpenNN::IndependentParameters , OpenNN::ScalingLayer , OpenNN::Statistics< T > , OpenNN::UnscalingLayer
• set_minimum_damping_parameter() : OpenNN::LevenbergMarquardtAlgorithm
• set_minimum_parameters_increment_norm() : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod
• set_minimum_performance_increase() : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod
• set_minimums() : OpenNN::IndependentParameters
• set_minimums_maximums() : OpenNN::IndependentParameters
• set_Minkowski_parameter() : OpenNN::MinkowskiError
• set_missing_values_label() : OpenNN::DataSet
• set_missing_values_number() : OpenNN::MissingValues
• set_multilayer_perceptron_pointer() : OpenNN::NeuralNetwork
• set_mutation_method() : OpenNN::EvolutionaryAlgorithm
• set_mutation_range() : OpenNN::EvolutionaryAlgorithm
• set_mutation_rate() : OpenNN::EvolutionaryAlgorithm
• set_name() : OpenNN::IndependentParameters , OpenNN::Inputs , OpenNN::Outputs , OpenNN::Variables
• set_names() : OpenNN::IndependentParameters , OpenNN::Inputs , OpenNN::Outputs , OpenNN::Variables
• set_neural_network_file_name() : OpenNN::TrainingAlgorithm
• set_neural_network_pointer() : OpenNN::PerformanceFunctional , OpenNN::PerformanceTerm , OpenNN::TestingAnalysis
• set_neural_parameters_norm_weight() : OpenNN::NeuralParametersNorm
• set_numerical_differentiation_method() : OpenNN::NumericalDifferentiation
• set_numerical_differentiation_pointer() : OpenNN::PerformanceTerm
• set_numerical_integration() : OpenNN::OutputsIntegrals
• set_numerical_integration_method() : OpenNN::NumericalIntegration
• set_objective_type() : OpenNN::PerformanceFunctional
• set_output_file_name() : OpenNN::PlugIn
• set_output_integral_weight() : OpenNN::OutputsIntegrals
• set_output_value() : OpenNN::ConditionsLayer
• set_output_values() : OpenNN::ConditionsLayer
• set_outputs_integrals_weights() : OpenNN::OutputsIntegrals
• set_outputs_number() : OpenNN::Outputs
• set_outputs_pointer() : OpenNN::NeuralNetwork
• set_parameter() : OpenNN::IndependentParameters
• set_parameters() : OpenNN::IndependentParameters , OpenNN::MultilayerPerceptron , OpenNN::NeuralNetwork , OpenNN::Perceptron , OpenNN::PerceptronLayer
• set_parameters_assays_number() : OpenNN::ModelSelection
• set_parameters_number() : OpenNN::IndependentParameters
• set_perceptron() : OpenNN::PerceptronLayer
• set_perceptrons() : OpenNN::PerceptronLayer
• set_perceptrons_number() : OpenNN::PerceptronLayer
• set_performance() : OpenNN::EvolutionaryAlgorithm
• set_performance_functional_pointer() : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::TrainingAlgorithm , OpenNN::TrainingRateAlgorithm , OpenNN::TrainingStrategy
• set_performance_goal() : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch
• set_points_number() : OpenNN::OrdinaryDifferentialEquations
• set_population() : OpenNN::EvolutionaryAlgorithm
• set_population_size() : OpenNN::EvolutionaryAlgorithm
• set_precision_digits() : OpenNN::NumericalDifferentiation
• set_probabilistic_layer_pointer() : OpenNN::NeuralNetwork
• set_probabilistic_method() : OpenNN::ProbabilisticLayer
• set_probabilistic_neurons_number() : OpenNN::ProbabilisticLayer
• set_quasi_Newton_method_pointer() : OpenNN::QuasiNewtonMethod::QuasiNewtonMethodResults
• set_recombination_method() : OpenNN::EvolutionaryAlgorithm
• set_recombination_size() : OpenNN::EvolutionaryAlgorithm
• set_refinement_type() : OpenNN::TrainingStrategy
• set_regularization_type() : OpenNN::PerformanceFunctional
• set_reserve_all_training_history() : OpenNN::ConjugateGradient , OpenNN::EvolutionaryAlgorithm , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch
• set_reserve_best_individual_history() : OpenNN::EvolutionaryAlgorithm
• set_reserve_best_norm_history() : OpenNN::EvolutionaryAlgorithm
• set_reserve_best_performance_history() : OpenNN::EvolutionaryAlgorithm
• set_reserve_damping_parameter_history() : OpenNN::LevenbergMarquardtAlgorithm
• set_reserve_elapsed_time_history() : OpenNN::ConjugateGradient , OpenNN::EvolutionaryAlgorithm , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch
• set_reserve_generalization_performance_data() : OpenNN::ModelSelection
• set_reserve_generalization_performance_data_statistics() : OpenNN::ModelSelection
• set_reserve_generalization_performance_history() : OpenNN::ConjugateGradient , OpenNN::EvolutionaryAlgorithm , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch
• set_reserve_gradient_history() : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod
• set_reserve_gradient_norm_history() : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod
• set_reserve_Hessian_approximation_history() : OpenNN::LevenbergMarquardtAlgorithm
• set_reserve_inverse_Hessian_history() : OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod
• set_reserve_mean_norm_history() : OpenNN::EvolutionaryAlgorithm
• set_reserve_mean_performance_history() : OpenNN::EvolutionaryAlgorithm
• set_reserve_minimal_parameters() : OpenNN::ModelSelection
• set_reserve_model_order_selection_plot() : OpenNN::ModelSelection
• set_reserve_parameters_data() : OpenNN::ModelSelection
• set_reserve_parameters_history() : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch
• set_reserve_parameters_norm_history() : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch
• set_reserve_performance_data() : OpenNN::ModelSelection
• set_reserve_performance_data_statistics() : OpenNN::ModelSelection
• set_reserve_performance_history() : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch
• set_reserve_population_history() : OpenNN::EvolutionaryAlgorithm
• set_reserve_standard_deviation_norm_history() : OpenNN::EvolutionaryAlgorithm
• set_reserve_standard_deviation_performance_history() : OpenNN::EvolutionaryAlgorithm
• set_reserve_training_direction_history() : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch
• set_reserve_training_direction_norm_history() : OpenNN::RandomSearch
• set_reserve_training_rate_history() : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch
• set_row() : OpenNN::Matrix< T >
• set_rows_number() : OpenNN::Matrix< T >
• set_save_period() : OpenNN::ConjugateGradient , OpenNN::TrainingAlgorithm
• set_scaling_layer_pointer() : OpenNN::NeuralNetwork
• set_scaling_method() : OpenNN::IndependentParameters , OpenNN::ScalingLayer
• set_script_file_name() : OpenNN::PlugIn
• set_scrubbing_method() : OpenNN::MissingValues
• set_selection() : OpenNN::EvolutionaryAlgorithm
• set_selection_method() : OpenNN::EvolutionaryAlgorithm
• set_selective_pressure() : OpenNN::EvolutionaryAlgorithm
• set_separator() : OpenNN::DataSet
• set_solution_error_weight() : OpenNN::SolutionsError
• set_solution_method() : OpenNN::OrdinaryDifferentialEquations
• set_solutions_error_method() : OpenNN::SolutionsError
• set_solutions_errors_weights() : OpenNN::SolutionsError
• set_standard_deviation() : OpenNN::IndependentParameters , OpenNN::ScalingLayer , OpenNN::Statistics< T > , OpenNN::UnscalingLayer
• set_standard_deviation_performance_goal() : OpenNN::EvolutionaryAlgorithm
• set_standard_deviations() : OpenNN::IndependentParameters
• set_statistics() : OpenNN::IndependentParameters , OpenNN::ScalingLayer , OpenNN::UnscalingLayer
• set_synaptic_weight() : OpenNN::Perceptron
• set_synaptic_weights() : OpenNN::Perceptron , OpenNN::PerceptronLayer
• set_target() : OpenNN::Variables
• set_target_final_solution() : OpenNN::FinalSolutionsError
• set_target_final_solutions() : OpenNN::FinalSolutionsError
• set_target_independent_parameter() : OpenNN::IndependentParametersError
• set_target_independent_parameters() : OpenNN::IndependentParametersError
• set_template_file_name() : OpenNN::PlugIn
• set_testing() : OpenNN::Instances
• set_tolerance() : OpenNN::OrdinaryDifferentialEquations
• set_training() : OpenNN::Instances
• set_training_direction_method() : OpenNN::ConjugateGradient
• set_training_rate_algorithm() : OpenNN::GradientDescent
• set_training_rate_method() : OpenNN::TrainingRateAlgorithm
• set_training_rate_reduction_factor() : OpenNN::RandomSearch
• set_training_rate_reduction_period() : OpenNN::RandomSearch
• set_training_rate_tolerance() : OpenNN::TrainingRateAlgorithm
• set_training_strategy_pointer() : OpenNN::ModelSelection
• set_unit() : OpenNN::IndependentParameters , OpenNN::Inputs , OpenNN::Outputs
• set_units() : OpenNN::IndependentParameters , OpenNN::Inputs , OpenNN::Outputs , OpenNN::Variables
• set_unknowns_method() : OpenNN::InverseSumSquaredError
• set_unscaling_layer_pointer() : OpenNN::NeuralNetwork
• set_unscaling_method() : OpenNN::UnscalingLayer
• set_upper_bound() : OpenNN::BoundingLayer , OpenNN::IndependentParameters
• set_upper_bounds() : OpenNN::BoundingLayer , OpenNN::IndependentParameters
• set_use() : OpenNN::Instances , OpenNN::Variables
• set_user_constraints_pointer() : OpenNN::PerformanceFunctional
• set_user_objective_pointer() : OpenNN::PerformanceFunctional
• set_user_regularization_pointer() : OpenNN::PerformanceFunctional
• set_uses() : OpenNN::Instances , OpenNN::Variables
• set_variables_number() : OpenNN::DataSet , OpenNN::MissingValues , OpenNN::Variables
• set_warning_gradient_norm() : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod
• set_warning_parameters_norm() : OpenNN::ConjugateGradient , OpenNN::EvolutionaryAlgorithm , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch
• set_warning_size() : OpenNN::OrdinaryDifferentialEquations
• set_warning_training_rate() : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch , OpenNN::TrainingRateAlgorithm
• slope : OpenNN::LinearRegressionParameters< T > , OpenNN::LogisticRegressionParameters< T >
• solution_method : OpenNN::OrdinaryDifferentialEquations
• SolutionMethod : OpenNN::OrdinaryDifferentialEquations
• solutions_error_constraints_pointer : OpenNN::PerformanceFunctional
• solutions_error_method : OpenNN::SolutionsError
• solutions_error_objective_pointer : OpenNN::PerformanceFunctional
• solutions_errors_weights : OpenNN::SolutionsError
• SolutionsError() : OpenNN::SolutionsError
• SolutionsErrorMethod : OpenNN::SolutionsError
• sort_greater() : OpenNN::Matrix< T >
• sort_less() : OpenNN::Matrix< T >
• split_instances() : OpenNN::Instances
• split_random_indices() : OpenNN::Instances
• split_sequential_indices() : OpenNN::Instances
• SplittingMethod : OpenNN::Instances
• standard_deviation : OpenNN::Statistics< T >
• standard_deviation_norm_history : OpenNN::EvolutionaryAlgorithm::EvolutionaryAlgorithmResults
• standard_deviation_performance_goal : OpenNN::EvolutionaryAlgorithm
• standard_deviation_performance_history : OpenNN::EvolutionaryAlgorithm::EvolutionaryAlgorithmResults
• standard_deviations : OpenNN::IndependentParameters
• statistics : OpenNN::ScalingLayer
• Statistics() : OpenNN::Statistics< T >
• statistics : OpenNN::UnscalingLayer
• stopping_criterion : OpenNN::GradientDescent::GradientDescentResults
• subtract_column() : OpenNN::Matrix< T >
• subtract_instance() : OpenNN::DataSet
• subtract_row() : OpenNN::Matrix< T >
• subtract_variable() : OpenNN::DataSet
• sum_diagonal() : OpenNN::Matrix< T >
• sum_row() : OpenNN::Matrix< T >
• sum_squared_error_objective_pointer : OpenNN::PerformanceFunctional
• SumSquaredError() : OpenNN::SumSquaredError
• synaptic_weights : OpenNN::Perceptron