Here is a list of all documented class members with links to the class documentation for each member:
- parameters
: OpenNN::IndependentParameters
- parameters_data
: OpenNN::ModelSelection::ModelSelectionResults
- parameters_history
: OpenNN::GradientDescent::GradientDescentResults
, OpenNN::RandomSearch::RandomSearchResults
, OpenNN::LevenbergMarquardtAlgorithm::LevenbergMarquardtAlgorithmResults
, OpenNN::ConjugateGradient::ConjugateGradientResults
, OpenNN::NewtonMethod::NewtonMethodResults
, OpenNN::QuasiNewtonMethod::QuasiNetwonMethodResults
- parameters_norm_history
: OpenNN::ConjugateGradient::ConjugateGradientResults
, OpenNN::GradientDescent::GradientDescentResults
, OpenNN::LevenbergMarquardtAlgorithm::LevenbergMarquardtAlgorithmResults
, OpenNN::NewtonMethod::NewtonMethodResults
, OpenNN::QuasiNewtonMethod::QuasiNetwonMethodResults
, OpenNN::RandomSearch::RandomSearchResults
- parse()
: OpenNN::Vector< Type >
- PatternRecognitionTesting()
: OpenNN::PatternRecognitionTesting
- Perceptron()
: OpenNN::Perceptron
- PerceptronLayer()
: OpenNN::PerceptronLayer
- perceptrons
: OpenNN::PerceptronLayer
- perform_fitness_assignment()
: OpenNN::EvolutionaryAlgorithm
- perform_Gauss_Jordan_elimination()
: OpenNN::LinearAlgebraicEquations
- perform_intermediate_recombination()
: OpenNN::EvolutionaryAlgorithm
- perform_line_recombination()
: OpenNN::EvolutionaryAlgorithm
- perform_linear_ranking_fitness_assignment()
: OpenNN::EvolutionaryAlgorithm
- perform_linear_regression_analysis()
: OpenNN::FunctionRegressionTesting
- perform_model_inputs_selection()
: OpenNN::ModelSelection
- perform_model_order_selection()
: OpenNN::ModelSelection
- perform_model_selection()
: OpenNN::ModelSelection
- perform_mutation()
: OpenNN::EvolutionaryAlgorithm
- perform_normal_mutation()
: OpenNN::EvolutionaryAlgorithm
- perform_recombination()
: OpenNN::EvolutionaryAlgorithm
- perform_roulette_wheel_selection()
: OpenNN::EvolutionaryAlgorithm
- perform_selection()
: OpenNN::EvolutionaryAlgorithm
- perform_stochastic_universal_sampling_selection()
: OpenNN::EvolutionaryAlgorithm
- perform_training()
: OpenNN::ConjugateGradient
, OpenNN::EvolutionaryAlgorithm
, OpenNN::GradientDescent
, OpenNN::LevenbergMarquardtAlgorithm
, OpenNN::NewtonMethod
, OpenNN::QuasiNewtonMethod
, OpenNN::RandomSearch
, OpenNN::TrainingAlgorithm
, OpenNN::TrainingStrategy
- perform_uniform_mutation()
: OpenNN::EvolutionaryAlgorithm
- performance
: OpenNN::PerformanceFunctional::ZeroOrderEvaluation
, OpenNN::PerformanceFunctional::FirstOrderEvaluation
, OpenNN::PerformanceFunctional::SecondOrderEvaluation
- performance_functional_pointer
: OpenNN::TrainingRateAlgorithm
, OpenNN::TrainingAlgorithm
, OpenNN::TrainingStrategy
- PerformanceFunctional()
: OpenNN::PerformanceFunctional
- PerformanceTerm()
: OpenNN::PerformanceTerm
- PerformanceTermType
: OpenNN::PerformanceFunctional
- PlugIn()
: OpenNN::PlugIn
- points_number
: OpenNN::OrdinaryDifferentialEquations
- population_history
: OpenNN::EvolutionaryAlgorithm::EvolutionaryAlgorithmResults
- print()
: OpenNN::TrainingStrategy
, OpenNN::NeuralNetwork
, OpenNN::TrainingAlgorithm
, OpenNN::MathematicalModel
, OpenNN::SolutionsError
, OpenNN::PerformanceFunctional
, OpenNN::ModelSelection
, OpenNN::TestingAnalysis
, OpenNN::DataSet
, OpenNN::Matrix< Type >
- print_data()
: OpenNN::DataSet
- probabilistic_layer_flag
: OpenNN::NeuralNetwork
- probabilistic_layer_pointer
: OpenNN::NeuralNetwork
- probabilistic_method
: OpenNN::ProbabilisticLayer
- probabilistic_neurons_number
: OpenNN::ProbabilisticLayer
- ProbabilisticLayer()
: OpenNN::ProbabilisticLayer
- ProbabilisticMethod
: OpenNN::ProbabilisticLayer
- prune_input()
: OpenNN::PerceptronLayer
, OpenNN::Perceptron
, OpenNN::MultilayerPerceptron
- prune_layer()
: OpenNN::MultilayerPerceptron
- prune_perceptron()
: OpenNN::PerceptronLayer