Inductive inference of chaotic series by Genetic Programming: a Solomonoff-based approach

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{conf/sac/FalcoTCP05,
  title =        "Inductive inference of chaotic series by Genetic
                 Programming: a Solomonoff-based approach",
  author =       "Ivan {De Falco} and Ernesto Tarantino and 
                 Antonio {Della Cioppa} and A. Passaro",
  year =         "2005",
  pages =        "957--958",
  editor =       "Hisham Haddad and Lorie M. Liebrock and 
                 Andrea Omicini and Roger L. Wainwright",
  booktitle =    "Proceedings of the 2005 ACM Symposium on Applied
                 Computing (SAC)",
  publisher =    "ACM",
  address =      "Santa Fe, New Mexico, USA",
  month =        mar # " 13-17",
  organisation = "ACM",
  bibdate =      "2006-02-10",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/conf/sac/sac2005.html#FalcoTCP05",
  keywords =     "genetic algorithms, genetic programming, Automatic
                 Programming, Algorithms, Experimentation, Inductive
                 inference, Chaotic series",
  ISBN =         "1-58113-964-0",
  DOI =          "doi:10.1145/1066677.1066897",
  size =         "2 pages",
  abstract =     "A Genetic Programming approach to inductive inference
                 of chaotic series, with reference to Solomonoff
                 complexity, is presented. It consists in evolving a
                 population of mathematical expressions looking for the
                 'optimal' one that generates a given chaotic data
                 series. Validation is performed on the Logistic, the
                 Henon and the Mackey-Glass series. The method is shown
                 effective in obtaining the analytical expression of the
                 first two series, and in achieving very good results on
                 the third one.",
}

Genetic Programming entries for Ivanoe De Falco Ernesto Tarantino Antonio Della Cioppa A Passaro

Citations