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

- c -

• calculate_absolute_value() : OpenNN::Matrix< T > , OpenNN::Vector< T >
• calculate_activation() : OpenNN::Perceptron
• calculate_activation_derivative() : OpenNN::Perceptron
• calculate_activation_second_derivative() : OpenNN::Perceptron
• calculate_activations() : OpenNN::PerceptronLayer
• calculate_activations_derivatives() : OpenNN::PerceptronLayer
• calculate_activations_second_derivatives() : OpenNN::PerceptronLayer
• calculate_best_individual_index() : OpenNN::EvolutionaryAlgorithm
• calculate_BFGS_inverse_Hessian() : OpenNN::QuasiNewtonMethod
• calculate_binary() : OpenNN::Vector< T >
• calculate_binary_classification_tests() : OpenNN::TestingAnalysis
• calculate_bracketing_triplet() : OpenNN::TrainingRateAlgorithm
• calculate_Brent_method_directional_point() : OpenNN::TrainingRateAlgorithm
• calculate_Brent_method_training_rate() : OpenNN::TrainingRateAlgorithm
• calculate_central_differences_derivative() : OpenNN::NumericalDifferentiation
• calculate_central_differences_gradient() : OpenNN::NumericalDifferentiation
• calculate_central_differences_Hessian() : OpenNN::NumericalDifferentiation
• calculate_central_differences_Hessian_form() : OpenNN::NumericalDifferentiation
• calculate_central_differences_Jacobian() : OpenNN::NumericalDifferentiation
• calculate_central_differences_second_derivative() : OpenNN::NumericalDifferentiation
• calculate_closest_index() : OpenNN::Vector< T >
• calculate_cofactor() : OpenNN::Matrix< T >
• calculate_columns_statistics() : OpenNN::Matrix< T >
• calculate_columns_statistics_missing_values() : OpenNN::Matrix< T >
• calculate_combination() : OpenNN::Perceptron
• calculate_combination_gradient() : OpenNN::Perceptron
• calculate_combination_Hessian() : OpenNN::Perceptron
• calculate_combinations() : OpenNN::PerceptronLayer
• calculate_combinations_Hessian_form() : OpenNN::PerceptronLayer
• calculate_combinations_Jacobian() : OpenNN::PerceptronLayer
• calculate_competitive() : OpenNN::Vector< T >
• calculate_competitive_Hessian_form() : OpenNN::ProbabilisticLayer
• calculate_competitive_Jacobian() : OpenNN::ProbabilisticLayer
• calculate_competitive_output() : OpenNN::ProbabilisticLayer
• calculate_confusion() : OpenNN::TestingAnalysis
• calculate_confusion_binary_classification() : OpenNN::TestingAnalysis
• calculate_confusion_multiple_classification() : OpenNN::TestingAnalysis
• calculate_constraints() : OpenNN::PerformanceFunctional
• calculate_constraints_gradient() : OpenNN::PerformanceFunctional
• calculate_constraints_Hessian() : OpenNN::PerformanceFunctional
• calculate_constraints_terms() : OpenNN::PerformanceFunctional
• calculate_constraints_terms_Jacobian() : OpenNN::PerformanceFunctional
• calculate_cumulative() : OpenNN::Vector< T >
• calculate_cumulative_index() : OpenNN::Vector< T >
• calculate_data_histograms() : OpenNN::DataSet
• calculate_data_statistics() : OpenNN::DataSet
• calculate_data_statistics_matrix() : OpenNN::DataSet
• calculate_dependent_variables() : OpenNN::MathematicalModel
• calculate_dependent_variables_dots() : OpenNN::OrdinaryDifferentialEquations
• calculate_derivative() : OpenNN::BoundingLayer , OpenNN::NumericalDifferentiation
• calculate_derivatives() : OpenNN::ScalingLayer , OpenNN::UnscalingLayer
• calculate_determinant() : OpenNN::Matrix< T >
• calculate_DFP_inverse_Hessian() : OpenNN::QuasiNewtonMethod
• calculate_directional_input_data() : OpenNN::NeuralNetwork
• calculate_directional_point() : OpenNN::TrainingRateAlgorithm
• calculate_distance() : OpenNN::Vector< T >
• calculate_distances() : OpenNN::DataSet
• calculate_error_data() : OpenNN::TestingAnalysis
• calculate_error_data_histograms() : OpenNN::TestingAnalysis
• calculate_error_data_statistics() : OpenNN::TestingAnalysis
• calculate_error_data_statistics_matrices() : OpenNN::TestingAnalysis
• calculate_final_solutions() : OpenNN::MathematicalModel , OpenNN::OrdinaryDifferentialEquations
• calculate_first_order_forward_propagation() : OpenNN::MultilayerPerceptron
• calculate_first_order_performance() : OpenNN::MeanSquaredError , OpenNN::PerformanceFunctional
• calculate_first_order_Taylor_approximation() : OpenNN::PerformanceFunctional
• calculate_first_order_terms() : OpenNN::MeanSquaredError , OpenNN::NormalizedSquaredError , OpenNN::PerformanceTerm , OpenNN::SumSquaredError
• calculate_fixed_directional_point() : OpenNN::TrainingRateAlgorithm
• calculate_forward_differences_derivative() : OpenNN::NumericalDifferentiation
• calculate_forward_differences_gradient() : OpenNN::NumericalDifferentiation
• calculate_forward_differences_Hessian() : OpenNN::NumericalDifferentiation
• calculate_forward_differences_Hessian_form() : OpenNN::NumericalDifferentiation
• calculate_forward_differences_Jacobian() : OpenNN::NumericalDifferentiation
• calculate_forward_differences_second_derivative() : OpenNN::NumericalDifferentiation
• calculate_FR_parameter() : OpenNN::ConjugateGradient
• calculate_FR_training_direction() : OpenNN::ConjugateGradient
• calculate_generalization_constraints() : OpenNN::PerformanceFunctional
• calculate_generalization_instances_statistics() : OpenNN::DataSet
• calculate_generalization_objective() : OpenNN::PerformanceFunctional
• calculate_generalization_performance() : OpenNN::CrossEntropyError , OpenNN::InverseSumSquaredError , OpenNN::MeanSquaredError , OpenNN::MinkowskiError , OpenNN::NormalizedSquaredError , OpenNN::PerformanceFunctional , OpenNN::PerformanceTerm , OpenNN::RootMeanSquaredError , OpenNN::SumSquaredError
• calculate_generalization_regularization() : OpenNN::PerformanceFunctional
• calculate_generalization_target_data_mean() : OpenNN::DataSet
• calculate_golden_section_directional_point() : OpenNN::TrainingRateAlgorithm
• calculate_golden_section_training_rate() : OpenNN::TrainingRateAlgorithm
• calculate_gradient() : OpenNN::CrossEntropyError , OpenNN::IndependentParametersError , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::MeanSquaredError , OpenNN::MinkowskiError , OpenNN::NeuralParametersNorm , OpenNN::NormalizedSquaredError , OpenNN::NumericalDifferentiation , OpenNN::OutputsIntegrals , OpenNN::Perceptron , OpenNN::PerformanceFunctional , OpenNN::PerformanceTerm , OpenNN::RootMeanSquaredError , OpenNN::SumSquaredError
• calculate_gradient_descent_training_direction() : OpenNN::ConjugateGradient , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod
• calculate_greater_rank() : OpenNN::Vector< T >
• calculate_greater_than_indices() : OpenNN::Matrix< T > , OpenNN::Vector< T >
• calculate_h() : OpenNN::NumericalDifferentiation
• calculate_Hessian() : OpenNN::CrossEntropyError , OpenNN::IndependentParametersError , OpenNN::MeanSquaredError , OpenNN::MinkowskiError , OpenNN::NeuralParametersNorm , OpenNN::NormalizedSquaredError , OpenNN::NumericalDifferentiation , OpenNN::OutputsIntegrals , OpenNN::Perceptron , OpenNN::PerformanceFunctional , OpenNN::PerformanceTerm , OpenNN::RootMeanSquaredError , OpenNN::SumSquaredError
• calculate_Hessian_approximation() : OpenNN::LevenbergMarquardtAlgorithm
• calculate_Hessian_form() : OpenNN::ConditionsLayer , OpenNN::MultilayerPerceptron , OpenNN::NeuralNetwork , OpenNN::NumericalDifferentiation , OpenNN::PerceptronLayer , OpenNN::ProbabilisticLayer
• calculate_histogram() : OpenNN::Vector< T >
• calculate_histogram_missing_values() : OpenNN::Vector< T >
• calculate_histograms() : OpenNN::Matrix< T >
• calculate_histograms_missing_values() : OpenNN::Matrix< T >
• calculate_homogeneous_solution() : OpenNN::ConditionsLayer
• calculate_homogeneous_solution_Hessian_form() : OpenNN::ConditionsLayer
• calculate_homogeneous_solution_Jacobian() : OpenNN::ConditionsLayer
• calculate_inputs_statistics() : OpenNN::DataSet
• calculate_integral() : OpenNN::NumericalIntegration
• calculate_interlayer_combination_combination() : OpenNN::MultilayerPerceptron
• calculate_interlayer_combination_combination_Jacobian() : OpenNN::MultilayerPerceptron
• calculate_interlayers_combination_combination_Jacobian() : OpenNN::MultilayerPerceptron
• calculate_interlayers_Delta() : OpenNN::PerformanceTerm
• calculate_inverse() : OpenNN::Matrix< T >
• calculate_inverse_Hessian() : OpenNN::PerformanceFunctional
• calculate_inverse_Hessian_approximation() : OpenNN::QuasiNewtonMethod
• calculate_Jacobian() : OpenNN::ConditionsLayer , OpenNN::MultilayerPerceptron , OpenNN::NeuralNetwork , OpenNN::NumericalDifferentiation , OpenNN::PerceptronLayer , OpenNN::ProbabilisticLayer
• calculate_Jacobian_data() : OpenNN::NeuralNetwork
• calculate_Kronecker_delta() : OpenNN::PerformanceTerm
• calculate_layer_combination_combination() : OpenNN::MultilayerPerceptron
• calculate_layer_combination_combination_Jacobian() : OpenNN::MultilayerPerceptron
• calculate_layers_activation() : OpenNN::MultilayerPerceptron
• calculate_layers_activation_derivative() : OpenNN::MultilayerPerceptron
• calculate_layers_activation_second_derivative() : OpenNN::MultilayerPerceptron
• calculate_layers_combination() : OpenNN::MultilayerPerceptron
• calculate_layers_combination_Jacobian() : OpenNN::MultilayerPerceptron
• calculate_layers_combination_parameters_Jacobian() : OpenNN::MultilayerPerceptron
• calculate_layers_delta() : OpenNN::PerformanceTerm
• calculate_layers_Hessian_form() : OpenNN::MultilayerPerceptron
• calculate_layers_input() : OpenNN::MultilayerPerceptron
• calculate_layers_Jacobian() : OpenNN::MultilayerPerceptron
• calculate_less_rank() : OpenNN::Vector< T >
• calculate_less_than_indices() : OpenNN::Matrix< T > , OpenNN::Vector< T >
• calculate_linear_correlation() : OpenNN::Vector< T >
• calculate_linear_correlation_missing_values() : OpenNN::Vector< T >
• calculate_linear_correlations() : OpenNN::DataSet , OpenNN::ModelSelection
• calculate_linear_regression_parameters() : OpenNN::TestingAnalysis , OpenNN::Vector< T >
• calculate_logistic_correlations() : OpenNN::ModelSelection
• calculate_lower_bounded() : OpenNN::Vector< T >
• calculate_lower_upper_bounded() : OpenNN::Vector< T >
• calculate_maximal_centers() : OpenNN::Histogram< T >
• calculate_maximal_errors() : OpenNN::NormalizedSquaredError , OpenNN::TestingAnalysis
• calculate_maximal_index() : OpenNN::Vector< T >
• calculate_maximal_indices() : OpenNN::Matrix< T > , OpenNN::Vector< T >
• calculate_maximum() : OpenNN::Matrix< T > , OpenNN::Vector< T >
• calculate_maximum_frequency() : OpenNN::Histogram< T >
• calculate_maximum_missing_values() : OpenNN::Vector< T >
• calculate_mean() : OpenNN::Matrix< T > , OpenNN::Vector< T >
• calculate_mean_missing_values() : OpenNN::Matrix< T > , OpenNN::Vector< T >
• calculate_mean_performance() : OpenNN::EvolutionaryAlgorithm
• calculate_mean_standard_deviation() : OpenNN::Matrix< T > , OpenNN::Vector< T >
• calculate_mean_standard_deviation_derivatives() : OpenNN::ScalingLayer , OpenNN::UnscalingLayer
• calculate_mean_standard_deviation_outputs() : OpenNN::ScalingLayer , OpenNN::UnscalingLayer
• calculate_mean_standard_deviation_second_derivatives() : OpenNN::ScalingLayer , OpenNN::UnscalingLayer
• calculate_minimal_centers() : OpenNN::Histogram< T >
• calculate_minimal_index() : OpenNN::Vector< T >
• calculate_minimal_indices() : OpenNN::Matrix< T > , OpenNN::Vector< T >
• calculate_minimal_maximal_index() : OpenNN::Vector< T >
• calculate_minimal_maximal_indices() : OpenNN::Matrix< T >
• calculate_minimum() : OpenNN::Matrix< T > , OpenNN::Vector< T >
• calculate_minimum_frequency() : OpenNN::Histogram< T >
• calculate_minimum_generalization_performance() : OpenNN::CrossEntropyError
• calculate_minimum_maximum() : OpenNN::Matrix< T > , OpenNN::Vector< T >
• calculate_minimum_maximum_derivatives() : OpenNN::ScalingLayer , OpenNN::UnscalingLayer
• calculate_minimum_maximum_missing_values() : OpenNN::Vector< T >
• calculate_minimum_maximum_outputs() : OpenNN::ScalingLayer , OpenNN::UnscalingLayer
• calculate_minimum_maximum_second_derivatives() : OpenNN::ScalingLayer , OpenNN::UnscalingLayer
• calculate_minimum_missing_values() : OpenNN::Vector< T >
• calculate_minimum_performance() : OpenNN::CrossEntropyError
• calculate_Minkowski_error() : OpenNN::Vector< T >
• calculate_no_probabilistic_Hessian_form() : OpenNN::ProbabilisticLayer
• calculate_no_probabilistic_Jacobian() : OpenNN::ProbabilisticLayer
• calculate_no_probabilistic_output() : OpenNN::ProbabilisticLayer
• calculate_norm() : OpenNN::Vector< T >
• calculate_norm_gradient() : OpenNN::Vector< T >
• calculate_norm_Hessian() : OpenNN::Vector< T >
• calculate_normalization_coefficient() : OpenNN::NormalizedSquaredError
• calculate_normalized() : OpenNN::Vector< T >
• calculate_objective() : OpenNN::PerformanceFunctional
• calculate_objective_gradient() : OpenNN::PerformanceFunctional
• calculate_objective_Hessian() : OpenNN::PerformanceFunctional
• calculate_objective_terms() : OpenNN::PerformanceFunctional
• calculate_objective_terms_Jacobian() : OpenNN::PerformanceFunctional
• calculate_occurrence_indices() : OpenNN::Vector< T >
• calculate_one_condition_homogeneous_solution() : OpenNN::ConditionsLayer
• calculate_one_condition_homogeneous_solution_Hessian_form() : OpenNN::ConditionsLayer
• calculate_one_condition_homogeneous_solution_Jacobian() : OpenNN::ConditionsLayer
• calculate_one_condition_particular_solution() : OpenNN::ConditionsLayer
• calculate_one_condition_particular_solution_Hessian_form() : OpenNN::ConditionsLayer
• calculate_one_condition_particular_solution_Jacobian() : OpenNN::ConditionsLayer
• calculate_output() : OpenNN::Perceptron
• calculate_output_data() : OpenNN::NeuralNetwork
• calculate_output_interlayers_Delta() : OpenNN::MultilayerPerceptron
• calculate_output_layer_combination() : OpenNN::MultilayerPerceptron
• calculate_output_layers_delta() : OpenNN::MultilayerPerceptron
• calculate_outputs() : OpenNN::BoundingLayer , OpenNN::ConditionsLayer , OpenNN::MultilayerPerceptron , OpenNN::NeuralNetwork , OpenNN::PerceptronLayer , OpenNN::ProbabilisticLayer , OpenNN::ScalingLayer , OpenNN::UnscalingLayer
• calculate_p_norm() : OpenNN::Vector< T >
• calculate_p_norm_gradient() : OpenNN::Vector< T >
• calculate_parameters_histogram() : OpenNN::NeuralNetwork
• calculate_parameters_norm() : OpenNN::MultilayerPerceptron , OpenNN::NeuralNetwork , OpenNN::PerceptronLayer
• calculate_parameters_statistics() : OpenNN::NeuralNetwork
• calculate_particular_solution() : OpenNN::ConditionsLayer
• calculate_particular_solution_Hessian_form() : OpenNN::ConditionsLayer
• calculate_particular_solution_Jacobian() : OpenNN::ConditionsLayer
• calculate_perceptrons_combination_parameters_gradient() : OpenNN::MultilayerPerceptron
• calculate_performance() : OpenNN::CrossEntropyError , OpenNN::FinalSolutionsError , OpenNN::IndependentParametersError , OpenNN::InverseSumSquaredError , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::MeanSquaredError , OpenNN::MinkowskiError , OpenNN::NeuralParametersNorm , OpenNN::NormalizedSquaredError , OpenNN::OutputsIntegrals , OpenNN::PerformanceFunctional , OpenNN::PerformanceTerm , OpenNN::RootMeanSquaredError , OpenNN::SolutionsError , OpenNN::SumSquaredError
• calculate_performance_derivative() : OpenNN::PerformanceFunctional
• calculate_performance_second_derivative() : OpenNN::PerformanceFunctional
• calculate_point_gradient() : OpenNN::PerformanceTerm
• calculate_point_Hessian() : OpenNN::PerformanceTerm
• calculate_population_norm() : OpenNN::EvolutionaryAlgorithm
• calculate_pow() : OpenNN::Vector< T >
• calculate_PR_parameter() : OpenNN::ConjugateGradient
• calculate_PR_training_direction() : OpenNN::ConjugateGradient
• calculate_product() : OpenNN::Vector< T >
• calculate_regularization() : OpenNN::PerformanceFunctional
• calculate_regularization_gradient() : OpenNN::PerformanceFunctional
• calculate_regularization_Hessian() : OpenNN::PerformanceFunctional
• calculate_regularization_terms() : OpenNN::PerformanceFunctional
• calculate_regularization_terms_Jacobian() : OpenNN::PerformanceFunctional
• calculate_rows_norm() : OpenNN::Matrix< T >
• calculate_rows_statistics() : OpenNN::Matrix< T >
• calculate_rows_statistics_missing_values() : OpenNN::Matrix< T >
• calculate_rows_sum() : OpenNN::Matrix< T >
• calculate_Runge_Kutta_Fehlberg_final_solution() : OpenNN::OrdinaryDifferentialEquations
• calculate_Runge_Kutta_Fehlberg_solution() : OpenNN::OrdinaryDifferentialEquations
• calculate_Runge_Kutta_final_solution() : OpenNN::OrdinaryDifferentialEquations
• calculate_Runge_Kutta_solution() : OpenNN::OrdinaryDifferentialEquations
• calculate_scaled_mean_standard_deviation() : OpenNN::Vector< T >
• calculate_scaled_minimum_maximum() : OpenNN::Vector< T >
• calculate_scaled_parameters() : OpenNN::IndependentParameters
• calculate_second_derivative() : OpenNN::BoundingLayer , OpenNN::NumericalDifferentiation
• calculate_second_derivatives() : OpenNN::ScalingLayer , OpenNN::UnscalingLayer
• calculate_second_order_forward_propagation() : OpenNN::MultilayerPerceptron
• calculate_second_order_performance() : OpenNN::MeanSquaredError , OpenNN::PerformanceFunctional
• calculate_second_order_Taylor_approximation() : OpenNN::PerformanceFunctional
• calculate_Simpson_integral() : OpenNN::NumericalIntegration
• calculate_softmax() : OpenNN::Vector< T >
• calculate_softmax_Hessian_form() : OpenNN::ProbabilisticLayer
• calculate_softmax_Jacobian() : OpenNN::ProbabilisticLayer , OpenNN::Vector< T >
• calculate_softmax_output() : OpenNN::ProbabilisticLayer
• calculate_solutions() : OpenNN::MathematicalModel , OpenNN::OrdinaryDifferentialEquations , OpenNN::PlugIn
• calculate_solutions_error_integral() : OpenNN::SolutionsError
• calculate_solutions_error_sum() : OpenNN::SolutionsError
• calculate_squared_errors() : OpenNN::NormalizedSquaredError , OpenNN::SumSquaredError
• calculate_standard_deviation() : OpenNN::Vector< T >
• calculate_standard_deviation_missing_values() : OpenNN::Vector< T >
• calculate_standard_deviation_performance() : OpenNN::EvolutionaryAlgorithm
• calculate_statistics() : OpenNN::Matrix< T > , OpenNN::Vector< T >
• calculate_statistics_missing_values() : OpenNN::Matrix< T > , OpenNN::Vector< T >
• calculate_sum() : OpenNN::Matrix< T > , OpenNN::Vector< T >
• calculate_sum_missing_values() : OpenNN::Vector< T >
• calculate_sum_squared_error() : OpenNN::Matrix< T > , OpenNN::Vector< T >
• calculate_target_class_distribution() : OpenNN::DataSet
• calculate_target_dependent_variables() : OpenNN::SolutionsError
• calculate_target_output_data() : OpenNN::TestingAnalysis
• calculate_targets_statistics() : OpenNN::DataSet
• calculate_terms() : OpenNN::MeanSquaredError , OpenNN::NormalizedSquaredError , OpenNN::PerformanceFunctional , OpenNN::PerformanceTerm , OpenNN::SumSquaredError
• calculate_terms_Jacobian() : OpenNN::MeanSquaredError , OpenNN::NormalizedSquaredError , OpenNN::PerformanceFunctional , OpenNN::PerformanceTerm , OpenNN::SumSquaredError
• calculate_testing_instances_statistics() : OpenNN::DataSet
• calculate_testing_target_data_mean() : OpenNN::DataSet
• calculate_trace() : OpenNN::Matrix< T >
• calculate_training_direction() : OpenNN::ConjugateGradient , OpenNN::GradientDescent , OpenNN::NewtonMethod , OpenNN::QuasiNewtonMethod , OpenNN::RandomSearch
• calculate_training_instances_statistics() : OpenNN::DataSet
• calculate_training_target_data_mean() : OpenNN::DataSet
• calculate_transpose() : OpenNN::Matrix< T >
• calculate_trapezoid_integral() : OpenNN::NumericalIntegration
• calculate_two_conditions_homogeneous_solution() : OpenNN::ConditionsLayer
• calculate_two_conditions_homogeneous_solution_Hessian_form() : OpenNN::ConditionsLayer
• calculate_two_conditions_homogeneous_solution_Jacobian() : OpenNN::ConditionsLayer
• calculate_two_conditions_particular_solution() : OpenNN::ConditionsLayer
• calculate_two_conditions_particular_solution_Hessian_form() : OpenNN::ConditionsLayer
• calculate_two_conditions_particular_solution_Jacobian() : OpenNN::ConditionsLayer
• calculate_unscaled_mean_standard_deviation() : OpenNN::Vector< T >
• calculate_unscaled_minimum_maximum() : OpenNN::Vector< T >
• calculate_upper_bounded() : OpenNN::Vector< T >
• calculate_uses_percentage() : OpenNN::Instances
• calculate_vector_dot_Hessian() : OpenNN::PerformanceFunctional
• calculate_zero_order_performance() : OpenNN::PerformanceFunctional
• calculate_zero_order_Taylor_approximation() : OpenNN::PerformanceFunctional
• centers : OpenNN::Histogram< T >
• check() : OpenNN::ConditionsLayer , OpenNN::CrossEntropyError , OpenNN::FinalSolutionsError , OpenNN::IndependentParametersError , OpenNN::InverseSumSquaredError , OpenNN::LevenbergMarquardtAlgorithm , OpenNN::MeanSquaredError , OpenNN::MinkowskiError , OpenNN::ModelSelection , OpenNN::NeuralParametersNorm , OpenNN::NormalizedSquaredError , OpenNN::OutputsIntegrals , OpenNN::PerformanceTerm , OpenNN::RootMeanSquaredError , OpenNN::SolutionsError , OpenNN::SumSquaredError , OpenNN::TestingAnalysis , OpenNN::TrainingAlgorithm , OpenNN::TrainingRateAlgorithm::Triplet
• check_header_line() : OpenNN::DataSet
• check_neural_network() : OpenNN::PerformanceFunctional
• check_performance_functional() : OpenNN::TrainingStrategy
• check_performance_terms() : OpenNN::PerformanceFunctional
• check_range() : OpenNN::ScalingLayer , OpenNN::UnscalingLayer
• check_separator() : OpenNN::DataSet
• check_training_algorithms() : OpenNN::TrainingStrategy
• columns_number : OpenNN::Matrix< T >
• conditions_layer_pointer : OpenNN::NeuralNetwork
• conditions_method : OpenNN::ConditionsLayer
• conditions_neurons_number : OpenNN::ConditionsLayer
• ConditionsLayer() : OpenNN::ConditionsLayer
• ConditionsMethod : OpenNN::ConditionsLayer
• conjugate_gradient_pointer : OpenNN::ConjugateGradient::ConjugateGradientResults , OpenNN::TrainingStrategy
• conjugate_gradient_results_pointer : OpenNN::TrainingStrategy::Results
• ConjugateGradient() : OpenNN::ConjugateGradient
• ConjugateGradientResults() : OpenNN::ConjugateGradient::ConjugateGradientResults
• constraints_type : OpenNN::PerformanceFunctional
• ConstraintsType : OpenNN::PerformanceFunctional
• construct_bounding_layer() : OpenNN::NeuralNetwork
• construct_conditions_layer() : OpenNN::NeuralNetwork
• construct_independent_parameters() : OpenNN::NeuralNetwork
• construct_inputs() : OpenNN::NeuralNetwork
• construct_multilayer_perceptron() : OpenNN::NeuralNetwork
• construct_numerical_differentiation() : OpenNN::PerformanceTerm
• construct_outputs() : OpenNN::NeuralNetwork
• construct_probabilistic_layer() : OpenNN::NeuralNetwork
• construct_scaling_layer() : OpenNN::NeuralNetwork
• construct_unscaling_layer() : OpenNN::NeuralNetwork
• contains() : OpenNN::Vector< T >
• convert_angular_variable_degrees() : OpenNN::DataSet
• convert_angular_variable_radians() : OpenNN::DataSet
• convert_angular_variables() : OpenNN::DataSet
• convert_angular_variables_degrees() : OpenNN::DataSet , OpenNN::Matrix< T >
• convert_angular_variables_radians() : OpenNN::DataSet , OpenNN::Matrix< T >
• convert_autoassociation() : OpenNN::DataSet , OpenNN::Matrix< T > , OpenNN::MissingValues , OpenNN::Variables
• convert_time_series() : OpenNN::DataSet , OpenNN::Instances , OpenNN::Matrix< T > , OpenNN::MissingValues , OpenNN::Variables
• correlation : OpenNN::LinearRegressionParameters< T > , OpenNN::LogisticRegressionParameters< T >
• correlation_goal : OpenNN::ModelSelection
• count_cumulative_parameters_number() : OpenNN::PerceptronLayer
• count_cumulative_perceptrons_number() : OpenNN::MultilayerPerceptron
• count_data_file_columns_number() : OpenNN::DataSet
• count_diagonal_elements() : OpenNN::Matrix< T >
• count_empty_bins() : OpenNN::Histogram< T >
• count_generalization_instances_number() : OpenNN::Instances
• count_greater_than() : OpenNN::Vector< T >
• count_inputs_number() : OpenNN::Variables
• count_layers_parameters_numbers() : OpenNN::MultilayerPerceptron
• count_less_than() : OpenNN::Vector< T >
• count_missing_instances() : OpenNN::MissingValues
• count_occurrences() : OpenNN::Vector< T >
• count_off_diagonal_elements() : OpenNN::Matrix< T >
• count_parameters_number() : OpenNN::MultilayerPerceptron , OpenNN::NeuralNetwork , OpenNN::Perceptron , OpenNN::PerceptronLayer
• count_perceptron_parameters_number() : OpenNN::PerceptronLayer
• count_perceptrons_number() : OpenNN::MultilayerPerceptron
• count_targets_number() : OpenNN::Variables
• count_testing_instances_number() : OpenNN::Instances
• count_tokens() : OpenNN::DataSet
• count_training_instances_number() : OpenNN::Instances
• count_unused_instances_number() : OpenNN::Instances
• count_unused_variables_number() : OpenNN::Variables
• count_used_instances_number() : OpenNN::Instances
• count_used_variables_number() : OpenNN::Variables
• count_uses() : OpenNN::Instances , OpenNN::Variables
• count_variables_number() : OpenNN::MathematicalModel
• cross_entropy_error_objective_pointer : OpenNN::PerformanceFunctional
• CrossEntropyError() : OpenNN::CrossEntropyError