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

- h -

• has_bounding_layer() : OpenNN::NeuralNetwork
• has_conditions_layer() : OpenNN::NeuralNetwork
• has_data() : OpenNN::DataSet
• has_data_set() : OpenNN::PerformanceFunctional , OpenNN::PerformanceTerm
• has_generalization() : OpenNN::PerformanceFunctional
• has_independent_parameters() : OpenNN::NeuralNetwork
• has_inputs() : OpenNN::NeuralNetwork
• has_length_zero() : OpenNN::TrainingRateAlgorithm::Triplet
• has_mathematical_model() : OpenNN::PerformanceFunctional , OpenNN::PerformanceTerm
• has_mean_zero_standard_deviation_one() : OpenNN::Statistics< T >
• has_minimum_minus_one_maximum_one() : OpenNN::Statistics< T >
• has_missing_values() : OpenNN::MissingValues
• has_multilayer_perceptron() : OpenNN::NeuralNetwork
• has_names() : OpenNN::Variables
• has_neural_network() : OpenNN::PerformanceFunctional , OpenNN::PerformanceTerm
• has_numerical_differentiation() : OpenNN::PerformanceTerm
• has_outputs() : OpenNN::NeuralNetwork
• has_performance_functional() : OpenNN::TrainingAlgorithm , OpenNN::TrainingRateAlgorithm , OpenNN::TrainingStrategy
• has_probabilistic_layer() : OpenNN::NeuralNetwork
• has_scaling_layer() : OpenNN::NeuralNetwork
• has_unscaling_layer() : OpenNN::NeuralNetwork
• header_line : OpenNN::DataSet
• Hessian : OpenNN::PerformanceFunctional::SecondOrderperformance , OpenNN::PerformanceTerm::SecondOrderPerformance
• Hessian_approximation_history : OpenNN::LevenbergMarquardtAlgorithm::LevenbergMarquardtAlgorithmResults
• hidden_perceptrons_numbers : OpenNN::ModelSelection
• Histogram() : OpenNN::Histogram< T >