Design of B-spline Neural Networks using a Bacterial Programming Approach

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "C. Cabrita and J. Botzheim and A. E. Ruano and 
                 L. T. Koczy",
  title =        "Design of {B}-spline Neural Networks using a Bacterial
                 Programming Approach",
  booktitle =    "Proceedings of the International Joint Conference on
                 Neural Networks, IJCNN 2004",
  address =      "Budapest, Hungary",
  pages =        "2313--2318",
  year =         "2004",
  month =        jul,
  keywords =     "genetic algorithms, genetic programming, Evolution
                 (biology), Evolutionary computation, Informatics,
                 Intelligent networks, Intelligent systems,
                 Microorganisms, Neural networks, Spline,
                 Telecommunication network topology, evolution
                 (biological), microorganisms, neural nets, splines
                 (mathematics), B-spline neural network design,
                 bacterial programming method, heuristics method,
                 microbial evolution phenomenon",
  ISSN =         "1098-7576",
  DOI =          "doi:10.1109/IJCNN.2004.1380987",
  size =         "6 pages",
  abstract =     "The design phase of B-spline neural networks
                 represents a very high computational task. For this
                 purpose, heuristics have been developed, but have been
                 shown to be dependent on the initial conditions
                 employed. In this paper a new technique, Bacterial
                 Programming, is proposed, whose principles are based on
                 the replication of the microbial evolution phenomenon.
                 The performance of this approach is illustrated and
                 compared with existing alternatives.",
  notes =        "This is the first paper on Bacterial Programming.",

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