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• IndependentParameters() : OpenNN::IndependentParameters
• IndependentParametersError() : OpenNN::IndependentParametersError
• 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
• Inputs() : OpenNN::Inputs
• insert_column() : OpenNN::Matrix< T >
• insert_element() : OpenNN::Vector< T >
• insert_row() : OpenNN::Matrix< T >
• Instances() : OpenNN::Instances
• 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