Genetic Encoding of Neural Networks using Attribute Grammars

Created by W.Langdon from gp-bibliography.bib Revision:1.4208

  title =        "Genetic Encoding of Neural Networks using Attribute
  author =       "Talib S. Hussain and Roger A. Browse",
  year =         "1998",
  booktitle =    "CITO Researcher Retreat",
  address =      "Hamilton, Ontario, Canada",
  month =        may # " 12-14",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "",
  URL =          "",
  citeseer-isreferencedby = "oai:CiteSeerPSU:54190",
  annote =       "The Pennsylvania State University CiteSeer Archives",
  language =     "en",
  oai =          "oai:CiteSeerPSU:397503",
  size =         "4 pages",
  abstract =     "The discovery of good neural network solutions to
                 complex problems may be facilitated through the use of
                 evolutionary computation techniques, such as genetic
                 algorithms or genetic programming. One key issue in the
                 development of any system which will evolve neural
                 networks is how and what information about a neural
                 network will be encoded in the genetic description that
                 will be manipulated by the evolutionary processes.
                 Several approaches have been taken to this encoding
                 problem, including direct, structural, parametric, and
                 grammatical encoding. We present a new grammatical
                 encoding technique in which an attribute grammar is
                 used to represent a class of neural networks. We
                 propose that the resulting encoding offers several
                 improvements over existing approaches.",

Genetic Programming entries for Talib S Hussain Roger A Browse