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

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• independent_parameters_error_constraints_pointer : OpenNN::PerformanceFunctional
• independent_parameters_error_objective_pointer : OpenNN::PerformanceFunctional
• independent_parameters_errors_weights : OpenNN::IndependentParametersError
• independent_parameters_pointer : OpenNN::NeuralNetwork
• independent_variables_number : OpenNN::MathematicalModel
• IndependentParameters() : OpenNN::IndependentParameters
• IndependentParametersError() : OpenNN::IndependentParametersError
• initial_dependent_variables : OpenNN::OrdinaryDifferentialEquations
• initial_independent_variable : OpenNN::OrdinaryDifferentialEquations
• initial_size : OpenNN::OrdinaryDifferentialEquations
• initialization_type : OpenNN::TrainingStrategy
• InitializationType : OpenNN::TrainingStrategy
• initialize() : OpenNN::Matrix< T > , OpenNN::Vector< T >
• initialize_bias() : OpenNN::Perceptron
• initialize_bias_normal() : OpenNN::Perceptron
• initialize_bias_uniform() : OpenNN::Perceptron
• initialize_biases() : OpenNN::MultilayerPerceptron , OpenNN::PerceptronLayer
• initialize_data() : OpenNN::DataSet
• initialize_diagonal() : OpenNN::Matrix< T >
• initialize_identity() : OpenNN::Matrix< T >
• initialize_parameters() : OpenNN::IndependentParameters , OpenNN::MultilayerPerceptron , OpenNN::NeuralNetwork , OpenNN::Perceptron , OpenNN::PerceptronLayer
• initialize_population() : OpenNN::EvolutionaryAlgorithm
• initialize_random() : OpenNN::BoundingLayer , OpenNN::ConditionsLayer , OpenNN::EvolutionaryAlgorithm , OpenNN::IndependentParameters , OpenNN::MultilayerPerceptron , OpenNN::NeuralNetwork , OpenNN::PerceptronLayer , OpenNN::ProbabilisticLayer , OpenNN::ScalingLayer , OpenNN::Statistics< T > , OpenNN::TrainingAlgorithm , OpenNN::TrainingStrategy , OpenNN::UnscalingLayer
• initialize_sequential() : OpenNN::Vector< T >
• initialize_synaptic_weights() : OpenNN::MultilayerPerceptron , OpenNN::Perceptron , OpenNN::PerceptronLayer
• initialize_synaptic_weights_normal() : OpenNN::Perceptron
• initialize_synaptic_weights_uniform() : OpenNN::Perceptron
• input_file_name : OpenNN::PlugIn
• input_flags : OpenNN::PlugIn
• input_method : OpenNN::PlugIn
• InputMethod : OpenNN::PlugIn
• Inputs() : OpenNN::Inputs
• inputs_indices : OpenNN::ModelSelection
• inputs_pointer : OpenNN::NeuralNetwork
• inputs_selection_method : OpenNN::ModelSelection
• InputsSelectionMethod : OpenNN::ModelSelection
• insert_column() : OpenNN::Matrix< T >
• insert_element() : OpenNN::Vector< T >
• insert_row() : OpenNN::Matrix< T >
• instance_index : OpenNN::MissingValues::Item
• instances : OpenNN::DataSet
• Instances() : OpenNN::Instances
• instances_number : OpenNN::MissingValues
• intercept : OpenNN::LinearRegressionParameters< T >
• inverse_Hessian_approximation_method : OpenNN::QuasiNewtonMethod
• inverse_Hessian_history : OpenNN::NewtonMethod::NewtonMethodResults , OpenNN::QuasiNewtonMethod::QuasiNewtonMethodResults
• inverse_sum_squared_error_objective_pointer : OpenNN::PerformanceFunctional
• InverseHessianApproximationMethod : OpenNN::QuasiNewtonMethod
• InverseSumSquaredError() : OpenNN::InverseSumSquaredError
• is_antisymmetric() : OpenNN::Matrix< T >
• is_constant() : OpenNN::Vector< T >
• is_crescent() : OpenNN::Vector< T >
• is_decrescent() : OpenNN::Vector< T >
• is_diagonal() : OpenNN::Matrix< T >
• is_empty() : OpenNN::BoundingLayer , OpenNN::IndependentParameters , OpenNN::Inputs , OpenNN::MultilayerPerceptron , OpenNN::Outputs , OpenNN::PerceptronLayer , OpenNN::ScalingLayer , OpenNN::UnscalingLayer
• is_identity() : OpenNN::Matrix< T >
• is_in() : OpenNN::Vector< T >
• is_missing_value() : OpenNN::MissingValues
• is_mixed() : OpenNN::DataSet
• is_not_numeric() : OpenNN::DataSet
• is_numeric() : OpenNN::DataSet
• is_scalar() : OpenNN::Matrix< T >
• is_square() : OpenNN::Matrix< T >
• is_sum_squared_terms() : OpenNN::PerformanceFunctional
• is_symmetric() : OpenNN::Matrix< T >
• is_used() : OpenNN::Instances , OpenNN::Variables
• Item() : OpenNN::Inputs::Item , OpenNN::Instances::Item , OpenNN::MissingValues::Item , OpenNN::Outputs::Item
• items : OpenNN::Inputs , OpenNN::Instances , OpenNN::MissingValues , OpenNN::Outputs , OpenNN::Variables
• iterations_number : OpenNN::ConjugateGradient::ConjugateGradientResults , OpenNN::GradientDescent::GradientDescentResults , OpenNN::LevenbergMarquardtAlgorithm::LevenbergMarquardtAlgorithmResults , OpenNN::NewtonMethod::NewtonMethodResults , OpenNN::QuasiNewtonMethod::QuasiNewtonMethodResults , OpenNN::RandomSearch::RandomSearchResults