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

- g -

• generalization_performance_data : OpenNN::ModelSelection::ModelSelectionResults
• generalization_performance_data_statistics : OpenNN::ModelSelection::ModelSelectionResults
• generalization_performance_history : OpenNN::ConjugateGradient::ConjugateGradientResults , OpenNN::EvolutionaryAlgorithm::EvolutionaryAlgorithmResults , OpenNN::GradientDescent::GradientDescentResults , OpenNN::LevenbergMarquardtAlgorithm::LevenbergMarquardtAlgorithmResults , OpenNN::NewtonMethod::NewtonMethodResults , OpenNN::QuasiNewtonMethod::QuasiNewtonMethodResults , OpenNN::RandomSearch::RandomSearchResults
• generations_number : OpenNN::EvolutionaryAlgorithm::EvolutionaryAlgorithmResults
• get_activation_function() : OpenNN::Perceptron , OpenNN::PerceptronLayer
• get_angular_units() : OpenNN::DataSet
• get_angular_variables() : OpenNN::DataSet
• get_autoassociation() : OpenNN::DataSet
• get_best_performance_goal() : OpenNN::EvolutionaryAlgorithm
• get_bias() : OpenNN::Perceptron
• get_bins_number() : OpenNN::Histogram< T >
• get_bounding_layer_pointer() : OpenNN::NeuralNetwork
• get_bounding_method() : OpenNN::IndependentParameters
• get_bounding_neurons_number() : OpenNN::BoundingLayer
• get_bounds() : OpenNN::BoundingLayer , OpenNN::IndependentParameters
• get_bracketing_factor() : OpenNN::TrainingRateAlgorithm
• get_column_index() : OpenNN::DataSet
• get_columns_number() : OpenNN::Matrix< T >
• get_conditions_layer_pointer() : OpenNN::NeuralNetwork
• get_conditions_method() : OpenNN::ConditionsLayer
• get_conditions_neurons_number() : OpenNN::ConditionsLayer
• get_conjugate_gradient_pointer() : OpenNN::TrainingStrategy
• get_constraints_type() : OpenNN::PerformanceFunctional
• get_cross_entropy_error_objective_pointer() : OpenNN::PerformanceFunctional
• get_damping_parameter() : OpenNN::LevenbergMarquardtAlgorithm
• get_damping_parameter_factor() : OpenNN::LevenbergMarquardtAlgorithm
• get_damping_parameter_history() : OpenNN::LevenbergMarquardtAlgorithm
• get_data() : OpenNN::DataSet
• get_data_file_name() : OpenNN::DataSet
• get_data_set_pointer() : OpenNN::PerformanceFunctional , OpenNN::PerformanceTerm , OpenNN::TestingAnalysis
• get_dependent_variables_number() : OpenNN::MathematicalModel
• get_description() : OpenNN::IndependentParameters , OpenNN::Inputs , OpenNN::Outputs , OpenNN::Variables
• get_descriptions() : OpenNN::IndependentParameters
• get_diagonal() : OpenNN::Matrix< T >
• get_display() : 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
• get_display_period() : OpenNN::TrainingAlgorithm
• get_elitism_size() : OpenNN::EvolutionaryAlgorithm
• get_error_gradient_norm() : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod
• get_error_parameters_norm() : OpenNN::ConjugateGradient , OpenNN::EvolutionaryAlgorithm , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch
• get_error_size() : OpenNN::OrdinaryDifferentialEquations
• get_error_training_rate() : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch , OpenNN::TrainingRateAlgorithm
• get_evolutionary_algorithm_pointer() : OpenNN::TrainingStrategy
• get_external_input_value() : OpenNN::ConditionsLayer
• get_external_input_values() : OpenNN::ConditionsLayer
• get_external_inputs_number() : OpenNN::ConditionsLayer
• get_final_independent_variable() : OpenNN::OrdinaryDifferentialEquations
• get_final_solutions_error_constraints_pointer() : OpenNN::PerformanceFunctional
• get_final_solutions_error_objective_pointer() : OpenNN::PerformanceFunctional
• get_final_solutions_errors_weights() : OpenNN::FinalSolutionsError
• get_fitness() : OpenNN::EvolutionaryAlgorithm
• get_fitness_assignment_method() : OpenNN::EvolutionaryAlgorithm
• get_generalization_input_data() : OpenNN::DataSet
• get_generalization_target_data() : OpenNN::DataSet
• get_gradient_descent_pointer() : OpenNN::TrainingStrategy
• get_gradient_norm_goal() : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod
• get_header_line() : OpenNN::DataSet
• get_hidden_perceptrons_numbers() : OpenNN::ModelSelection
• get_independent_parameter_error_weight() : OpenNN::IndependentParametersError
• get_independent_parameters_error_constraints_pointer() : OpenNN::PerformanceFunctional
• get_independent_parameters_error_objective_pointer() : OpenNN::PerformanceFunctional
• get_independent_parameters_errors_weights() : OpenNN::IndependentParametersError
• get_independent_parameters_pointer() : OpenNN::NeuralNetwork
• get_independent_variables_number() : OpenNN::MathematicalModel
• get_individual() : OpenNN::EvolutionaryAlgorithm
• get_initial_dependent_variable() : OpenNN::OrdinaryDifferentialEquations
• get_initial_dependent_variables() : OpenNN::OrdinaryDifferentialEquations
• get_initial_independent_variable() : OpenNN::OrdinaryDifferentialEquations
• get_initial_size() : OpenNN::OrdinaryDifferentialEquations
• get_initialization_type() : OpenNN::TrainingStrategy
• get_input_file_name() : OpenNN::PlugIn
• get_input_flag() : OpenNN::PlugIn
• get_input_flags() : OpenNN::PlugIn
• get_input_method() : OpenNN::PlugIn
• get_inputs_number() : OpenNN::Inputs , OpenNN::MultilayerPerceptron , OpenNN::NeuralNetwork , OpenNN::Perceptron , OpenNN::PerceptronLayer
• get_inputs_pointer() : OpenNN::NeuralNetwork
• get_inputs_selection_method() : OpenNN::ModelSelection
• get_instance() : OpenNN::DataSet
• get_instances() : OpenNN::DataSet
• get_instances_number() : OpenNN::Instances , OpenNN::MissingValues
• get_instances_pointer() : OpenNN::DataSet
• get_inverse_Hessian_approximation_method() : OpenNN::QuasiNewtonMethod
• get_inverse_sum_squared_error_objective_pointer() : OpenNN::PerformanceFunctional
• get_item() : OpenNN::MissingValues , OpenNN::Variables
• get_items() : OpenNN::MissingValues , OpenNN::Variables
• get_lags_number() : OpenNN::DataSet
• get_layer() : OpenNN::MultilayerPerceptron
• get_layer_bias_index() : OpenNN::MultilayerPerceptron
• get_layer_index() : OpenNN::MultilayerPerceptron
• get_layer_pointer() : OpenNN::MultilayerPerceptron
• get_layer_synaptic_weight_index() : OpenNN::MultilayerPerceptron
• get_layers() : OpenNN::MultilayerPerceptron
• get_layers_activation_function() : OpenNN::MultilayerPerceptron
• get_layers_inputs_number() : OpenNN::MultilayerPerceptron
• get_layers_number() : OpenNN::MultilayerPerceptron , OpenNN::NeuralNetwork
• get_layers_parameters() : OpenNN::MultilayerPerceptron
• get_Levenberg_Marquardt_algorithm_pointer() : OpenNN::TrainingStrategy
• get_lower_bound() : OpenNN::BoundingLayer , OpenNN::IndependentParameters
• get_lower_bounds() : OpenNN::BoundingLayer , OpenNN::IndependentParameters
• get_main_type() : OpenNN::TrainingStrategy
• get_mathematical_model_pointer() : OpenNN::PerformanceFunctional , OpenNN::TestingAnalysis
• get_mathemtaical_model_pointer() : OpenNN::PerformanceTerm
• get_maximum() : OpenNN::IndependentParameters
• get_maximum_damping_parameter() : OpenNN::LevenbergMarquardtAlgorithm
• get_maximum_generalization_performance_decreases() : OpenNN::ConjugateGradient , OpenNN::EvolutionaryAlgorithm , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch
• get_maximum_generations_number() : OpenNN::EvolutionaryAlgorithm
• get_maximum_iterations_number() : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch
• get_maximum_time() : OpenNN::ConjugateGradient , OpenNN::EvolutionaryAlgorithm , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch
• get_maximums() : OpenNN::IndependentParameters
• get_mean() : OpenNN::IndependentParameters
• get_mean_performance_goal() : OpenNN::EvolutionaryAlgorithm
• get_mean_squared_error_objective_pointer() : OpenNN::PerformanceFunctional
• get_means() : OpenNN::IndependentParameters
• get_minimum() : OpenNN::IndependentParameters
• get_minimum_damping_parameter() : OpenNN::LevenbergMarquardtAlgorithm
• get_minimum_parameters_increment_norm() : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod
• get_minimum_performance_increase() : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod
• get_minimums() : OpenNN::IndependentParameters
• get_Minkowski_error_objective_pointer() : OpenNN::PerformanceFunctional
• get_Minkowski_parameter() : OpenNN::MinkowskiError
• get_missing_values() : OpenNN::DataSet
• get_missing_values_label() : OpenNN::DataSet
• get_missing_values_number() : OpenNN::MissingValues
• get_missing_values_numbers() : OpenNN::MissingValues
• get_missing_values_pointer() : OpenNN::DataSet
• get_multilayer_perceptron_pointer() : OpenNN::NeuralNetwork
• get_mutation_method() : OpenNN::EvolutionaryAlgorithm
• get_mutation_range() : OpenNN::EvolutionaryAlgorithm
• get_mutation_rate() : OpenNN::EvolutionaryAlgorithm
• get_name() : OpenNN::IndependentParameters , OpenNN::Inputs , OpenNN::Outputs , OpenNN::Variables
• get_names() : OpenNN::IndependentParameters
• get_neural_network_file_name() : OpenNN::TrainingAlgorithm
• get_neural_network_pointer() : OpenNN::PerformanceFunctional , OpenNN::PerformanceTerm , OpenNN::TestingAnalysis
• get_neural_parameters_norm_regularization_pointer() : OpenNN::PerformanceFunctional
• get_neural_parameters_norm_weight() : OpenNN::NeuralParametersNorm
• get_Newton_method_pointer() : OpenNN::TrainingStrategy
• get_normalized_squared_error_objective_pointer() : OpenNN::PerformanceFunctional
• get_numerical_differentiation_method() : OpenNN::NumericalDifferentiation
• get_numerical_differentiation_pointer() : OpenNN::PerformanceTerm
• get_numerical_integration() : OpenNN::OutputsIntegrals
• get_numerical_integration_method() : OpenNN::NumericalIntegration
• get_numerical_integration_pointer() : OpenNN::OutputsIntegrals
• get_objective_type() : OpenNN::PerformanceFunctional
• get_output_file_name() : OpenNN::PlugIn
• get_output_integral_weight() : OpenNN::OutputsIntegrals
• get_output_value() : OpenNN::ConditionsLayer
• get_output_values() : OpenNN::ConditionsLayer
• get_outputs_integrals_constraints_pointer() : OpenNN::PerformanceFunctional
• get_outputs_integrals_objective_pointer() : OpenNN::PerformanceFunctional
• get_outputs_integrals_regularization_pointer() : OpenNN::PerformanceFunctional
• get_outputs_integrals_weights() : OpenNN::OutputsIntegrals
• get_outputs_number() : OpenNN::MultilayerPerceptron , OpenNN::NeuralNetwork , OpenNN::Outputs
• get_outputs_pointer() : OpenNN::NeuralNetwork
• get_parameter() : OpenNN::IndependentParameters
• get_parameters() : OpenNN::IndependentParameters
• get_parameters_assays_number() : OpenNN::ModelSelection
• get_parameters_number() : OpenNN::IndependentParameters
• get_perceptron() : OpenNN::PerceptronLayer
• get_perceptron_index() : OpenNN::MultilayerPerceptron
• get_perceptrons() : OpenNN::PerceptronLayer
• get_perceptrons_number() : OpenNN::PerceptronLayer
• get_performance() : OpenNN::EvolutionaryAlgorithm
• get_performance_functional_pointer() : OpenNN::TrainingAlgorithm , OpenNN::TrainingRateAlgorithm , OpenNN::TrainingStrategy
• get_performance_goal() : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch
• get_points_number() : OpenNN::OrdinaryDifferentialEquations
• get_population() : OpenNN::EvolutionaryAlgorithm
• get_population_size() : OpenNN::EvolutionaryAlgorithm
• get_precision_digits() : OpenNN::NumericalDifferentiation
• get_probabilistic_layer_pointer() : OpenNN::NeuralNetwork
• get_probabilistic_method() : OpenNN::ProbabilisticLayer
• get_probabilistic_neurons_number() : OpenNN::ProbabilisticLayer
• get_quasi_Newton_method_pointer() : OpenNN::QuasiNewtonMethod::QuasiNewtonMethodResults , OpenNN::TrainingStrategy
• get_random_search_pointer() : OpenNN::TrainingStrategy
• get_recombination_method() : OpenNN::EvolutionaryAlgorithm
• get_recombination_size() : OpenNN::EvolutionaryAlgorithm
• get_refinement_type() : OpenNN::TrainingStrategy
• get_regularization_type() : OpenNN::PerformanceFunctional
• get_reserve_best_individual_history() : OpenNN::EvolutionaryAlgorithm
• get_reserve_best_norm_history() : OpenNN::EvolutionaryAlgorithm
• get_reserve_best_performance_history() : OpenNN::EvolutionaryAlgorithm
• get_reserve_damping_parameter_history() : OpenNN::LevenbergMarquardtAlgorithm
• get_reserve_elapsed_time_history() : OpenNN::ConjugateGradient , OpenNN::EvolutionaryAlgorithm , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch
• get_reserve_generalization_performance_data() : OpenNN::ModelSelection
• get_reserve_generalization_performance_data_statistics() : OpenNN::ModelSelection
• get_reserve_generalization_performance_history() : OpenNN::ConjugateGradient , OpenNN::EvolutionaryAlgorithm , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch
• get_reserve_gradient_history() : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod
• get_reserve_gradient_norm_history() : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod
• get_reserve_Hessian_approximation_history() : OpenNN::LevenbergMarquardtAlgorithm
• get_reserve_inverse_Hessian_history() : OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod
• get_reserve_mean_norm_history() : OpenNN::EvolutionaryAlgorithm
• get_reserve_mean_performance_history() : OpenNN::EvolutionaryAlgorithm
• get_reserve_minimal_parameters() : OpenNN::ModelSelection
• get_reserve_model_order_selection_plot() : OpenNN::ModelSelection
• get_reserve_parameters_data() : OpenNN::ModelSelection
• get_reserve_parameters_history() : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch
• get_reserve_parameters_norm_history() : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch
• get_reserve_performance_data() : OpenNN::ModelSelection
• get_reserve_performance_data_statistics() : OpenNN::ModelSelection
• get_reserve_performance_history() : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch
• get_reserve_population_history() : OpenNN::EvolutionaryAlgorithm
• get_reserve_standard_deviation_norm_history() : OpenNN::EvolutionaryAlgorithm
• get_reserve_standard_deviation_performance_history() : OpenNN::EvolutionaryAlgorithm
• get_reserve_training_direction_history() : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch
• get_reserve_training_rate_history() : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch
• get_root_mean_squared_error_objective_pointer() : OpenNN::PerformanceFunctional
• get_rows_number() : OpenNN::Matrix< T >
• get_save_period() : OpenNN::TrainingAlgorithm
• get_scaling_layer_pointer() : OpenNN::NeuralNetwork
• get_scaling_method() : OpenNN::IndependentParameters , OpenNN::ScalingLayer
• get_scaling_neurons_number() : OpenNN::ScalingLayer
• get_scaling_unscaling_method() : OpenNN::DataSet
• get_script_file_name() : OpenNN::PlugIn
• get_scrubbing_method() : OpenNN::MissingValues
• get_selection() : OpenNN::EvolutionaryAlgorithm
• get_selection_method() : OpenNN::EvolutionaryAlgorithm
• get_selective_pressure() : OpenNN::EvolutionaryAlgorithm
• get_separator() : OpenNN::DataSet
• get_separator_string() : OpenNN::DataSet
• get_solution_error_weight() : OpenNN::SolutionsError
• get_solution_method() : OpenNN::OrdinaryDifferentialEquations
• get_solutions_error_constraints_pointer() : OpenNN::PerformanceFunctional
• get_solutions_error_method() : OpenNN::SolutionsError
• get_solutions_error_objective_pointer() : OpenNN::PerformanceFunctional
• get_solutions_errors_weights() : OpenNN::SolutionsError
• get_splitting_method() : OpenNN::Instances
• get_standard_deviation() : OpenNN::IndependentParameters
• get_standard_deviation_performance_goal() : OpenNN::EvolutionaryAlgorithm
• get_standard_deviations() : OpenNN::IndependentParameters
• get_statistics() : OpenNN::ScalingLayer , OpenNN::UnscalingLayer
• get_sum_squared_error_objective_pointer() : OpenNN::PerformanceFunctional
• get_synaptic_weight() : OpenNN::Perceptron
• get_target_final_solutions() : OpenNN::FinalSolutionsError
• get_target_independent_parameter() : OpenNN::IndependentParametersError
• get_target_independent_parameters() : OpenNN::IndependentParametersError
• get_template_file_name() : OpenNN::PlugIn
• get_tokens() : OpenNN::DataSet
• get_tolerance() : OpenNN::OrdinaryDifferentialEquations
• get_training_direction_method() : OpenNN::ConjugateGradient
• get_training_rate_algorithm() : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod
• get_training_rate_algorithm_pointer() : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod
• get_training_rate_method() : OpenNN::TrainingRateAlgorithm
• get_training_rate_reduction_factor() : OpenNN::RandomSearch
• get_training_rate_reduction_period() : OpenNN::RandomSearch
• get_training_rate_tolerance() : OpenNN::TrainingRateAlgorithm
• get_training_strategy_pointer() : OpenNN::ModelSelection
• get_trimmed() : OpenNN::DataSet
• get_unit() : OpenNN::IndependentParameters , OpenNN::Inputs , OpenNN::Outputs , OpenNN::Variables
• get_units() : OpenNN::IndependentParameters
• get_unknowns_method() : OpenNN::InverseSumSquaredError
• get_unscaling_layer_pointer() : OpenNN::NeuralNetwork
• get_unscaling_method() : OpenNN::UnscalingLayer
• get_unscaling_neurons_number() : OpenNN::UnscalingLayer
• get_upper_bound() : OpenNN::BoundingLayer , OpenNN::IndependentParameters
• get_upper_bounds() : OpenNN::BoundingLayer , OpenNN::IndependentParameters
• get_use() : OpenNN::Instances , OpenNN::Variables
• get_user_constraints_pointer() : OpenNN::PerformanceFunctional
• get_user_objective_pointer() : OpenNN::PerformanceFunctional
• get_user_regularization_pointer() : OpenNN::PerformanceFunctional
• get_variable() : OpenNN::DataSet
• get_variables() : OpenNN::DataSet
• get_variables_number() : OpenNN::MissingValues , OpenNN::Variables
• get_variables_pointer() : OpenNN::DataSet
• get_warning_gradient_norm() : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod
• get_warning_parameters_norm() : OpenNN::ConjugateGradient , OpenNN::EvolutionaryAlgorithm , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch
• get_warning_size() : OpenNN::OrdinaryDifferentialEquations
• get_warning_training_rate() : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch , OpenNN::TrainingRateAlgorithm
• gradient : OpenNN::PerformanceFunctional::FirstOrderperformance , OpenNN::PerformanceFunctional::SecondOrderperformance , OpenNN::PerformanceTerm::FirstOrderPerformance , OpenNN::PerformanceTerm::SecondOrderPerformance
• gradient_descent_pointer : OpenNN::GradientDescent::GradientDescentResults , OpenNN::TrainingStrategy
• gradient_descent_results_pointer : OpenNN::TrainingStrategy::Results
• gradient_history : OpenNN::ConjugateGradient::ConjugateGradientResults , OpenNN::GradientDescent::GradientDescentResults , OpenNN::LevenbergMarquardtAlgorithm::LevenbergMarquardtAlgorithmResults , OpenNN::NewtonMethod::NewtonMethodResults , OpenNN::QuasiNewtonMethod::QuasiNewtonMethodResults
• gradient_norm_goal : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod
• gradient_norm_history : OpenNN::ConjugateGradient::ConjugateGradientResults , OpenNN::GradientDescent::GradientDescentResults , OpenNN::LevenbergMarquardtAlgorithm::LevenbergMarquardtAlgorithmResults , OpenNN::NewtonMethod::NewtonMethodResults , OpenNN::QuasiNewtonMethod::QuasiNewtonMethodResults
• GradientDescent() : OpenNN::GradientDescent
• GradientDescentResults() : OpenNN::GradientDescent::GradientDescentResults
• grow_input() : OpenNN::Inputs , OpenNN::MultilayerPerceptron , OpenNN::Perceptron
• grow_inputs() : OpenNN::PerceptronLayer
• grow_layer() : OpenNN::MultilayerPerceptron
• grow_output() : OpenNN::Outputs
• grow_perceptrons() : OpenNN::PerceptronLayer