Ponce Cruz, Pedro.Molina Gutiérrez, Arturo.Pedro Ponce CruzArturo Molina GutiérrezPonce Espinosa, Hiram Eredín.2018-05-072018-05-072013http://hdl.handle.net/11285/628900In this work, a new supervised learning method called artificial organic networks is proposed for modeling problems, i.e. fitting, analyzing, inference and classification. In fact, this technique is inspired on chemical organic compounds due to their characteristics of stability, encapsulation, inheritance, organization, and robustness. Additionally, this work presentsartificial hydrocarbon networks, a supervised learning algorithm inspired on chemical hydrocarbon compounds and proposed under artificial organic networks technique.TextoengopenAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0Computer algorithmsOrganic compoundsMachine learningAlgoritmos computacionalesINGENIERÍA Y TECNOLOGÍA; CIENCIAS TECNOLÓGICAS; TECNOLOGÍA DE LOS ORDENADORES; LENGUAJES ALGORÍTMICOSTecnología / TechnologyTheory and practice of education--Higher education—Preparation of thesesTesis de doctorado