Modeling Synthesis Processes of Photocatalysts Using Symbolic Regression alpha-beta

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "G. Gonzalez-Campos and L. M. Torres-Trevino and 
                 E. Luevano-Hipolito and A. {Martinez-de la Cruz}",
  booktitle =    "13th Mexican International Conference on Artificial
                 Intelligence (MICAI)",
  title =        "Modeling Synthesis Processes of Photocatalysts Using
                 Symbolic Regression alpha-beta",
  year =         "2014",
  pages =        "174--179",
  abstract =     "Symbolic regression is an application of genetic
                 programming and is used for modelling different dynamic
                 processes. Industrial processes problems have been
                 solved using this technique. In this work a symbolic
                 regression algorithm is used for modelling the
                 synthesis process of the oxides Bi2MoO6 and V2O5 in
                 order to provide a model. These oxides are used on
                 heterogeneous photo catalysis. Genetic programming,
                 artificial neural network and linear regression are
                 compared with symbolic regression models using
                 statistics metrics to evaluate them.",
  keywords =     "genetic algorithms, genetic programming, Symbolic
                 regression, photocatalysis, industrial modelling",
  DOI =          "doi:10.1109/MICAI.2014.33",
  month =        nov,
  notes =        "Fac. de Ingeniena Mec. y Electr., Univ. Autonoma de
                 Nuevo Leon, San Nicolás de los Garza, Mexico

                 Also known as \cite{7222861}",

Genetic Programming entries for G Gonzalez-Campos Luis Martin Torres Trevino Edith Luevano-Hipolito Azael Martinez de la Cruz