Genetic and Bacterial Programming for B-Spline Neural Networks Design

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Janos Botzheim and Cristiano Cabrita and 
                 Laszlo T. Koczy and Antonio E. Ruano",
  title =        "Genetic and Bacterial Programming for {B}-Spline
                 Neural Networks Design",
  journal =      "Journal of Advanced Computational Intelligence and
                 Intelligent Informatics",
  year =         "2007",
  volume =       "11",
  number =       "2",
  pages =        "220--231",
  month =        feb,
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "1343-0130",
  URL =          "",
  URL =          "",
  abstract =     "The design phase of B-spline neural networks is a
                 highly computationally complex task. Existent
                 heuristics have been found to be highly dependent on
                 the initial conditions employed. Increasing interest in
                 biologically inspired learning algorithms for control
                 techniques such as Artificial Neural Networks and Fuzzy
                 Systems is in progress. In this paper, the Bacterial
                 Programming approach is presented, which is based on
                 the replication of the microbial evolution phenomenon.
                 This technique produces an efficient topology search,
                 obtaining additionally more consistent solutions.",

Genetic Programming entries for Janos Botzheim Cristiano Cabrita Laszlo T Koczy Antonio E Ruano