System Identification Using Genetic Programming and Gene Expression Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{conf/iscis/FloresG05,
  title =        "System Identification Using Genetic Programming and
                 Gene Expression Programming",
  author =       "Juan J. Flores and Mario Graff",
  year =         "2005",
  pages =        "503--511",
  booktitle =    "Proceedings of the 20th International Symposium
                 Computer and Information Sciences - ISCIS 2005",
  editor =       "Pinar Yolum and Tunga Gungor and Fikret Gurgen and 
                 Can Ozturan",
  volume =       "3733",
  series =       "Lecture Notes in Computer Science",
  address =      "Istanbul, Turkey",
  publisher_address = "Berlin / Heidelberg",
  month =        oct # " 26-28",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, Gene
                 Expression Programming",
  bibdate =      "2005-12-14",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/conf/iscis/iscis2005.html#FloresG05",
  ISSN =         "0302-9743",
  ISBN =         "3-540-29414-7",
  DOI =          "doi:10.1007/11569596",
  abstract =     "This paper describes a computer program called ECSID
                 that automates the process of system identification
                 using Genetic Programming and Gene Expression
                 Programming. ECSID uses a function set, and the
                 observed data to determine an ODE whose behaviour is
                 similar to the observed data. ECSID is capable to
                 evolve linear and non-linear models of higher order
                 systems. ECSID can also code a higher order system as a
                 set of higher order equations. ECSID has been tested
                 with linear pendulum, non-linear pendulum, mass-spring
                 system, linear circuit, etc.",
}

Genetic Programming entries for Juan J Flores Mario Graff Guerrero

Citations