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    A comparative analysis of evolutionary learning in artificial hydrocarbon networks 

    Ponce, Hiram (Springer Science and Business Media Deutschland GmbH, 2020-10-07)
    Artificial hydrocarbon networks (AHN) is a supervised learning model that is loosely inspired on the interactions of molecules in organic compounds. This method is able to model data in a hierarchical and robust way. ...
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    Stochastic parallel extreme artificial hydrocarbon networks : an implementation for fast and robust supervised machine learning in high-dimensional data 

    Ponce, Hiram; González Mora, José Guillermo (Elsevier Ltd., 2020-03)
    Artificial hydrocarbon networks (AHN) – a supervised learning method inspired on organic chemical structures and mechanisms – have shown improvements in predictive power and interpretability in comparison with other ...

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    HIRAM EREDIN PONCE ESPINOSA;376768 (2)
    Ponce, Hiram (2)
    González Mora, José Guillermo (1)Subject
    Classification (2)
    Classification (of information) (2)Heuristic methods (2)
    Hydrocarbons (2)
    Ingeniería (2)
    INGENIERÍA Y TECNOLOGÍA (2)
    Machine learning (2)
    Meta-heuristic optimizations (2)
    Regression (2)
    Supervised learning (2)
    ... View MoreDate Issued
    2020 (2)
    Has File(s)
    false (2)

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