Created by W.Langdon from gp-bibliography.bib Revision:1.4215

  author =       "Hitoshi Iba",
  title =        "Identification",
  booktitle =    "Handbook of Evolutionary Computation",
  publisher =    "Oxford University Press",
  publisher_2 =  "Institute of Physics Publishing",
  year =         "1997",
  editor =       "Thomas Baeck and David B. Fogel and 
                 Zbigniew Michalewicz",
  chapter =      "section F1.4",
  keywords =     "genetic algorithms, genetic programming, stroganoff,
  ISBN =         "0-7503-0392-1",
  URL =          "",
  URL =          "",
  size =         "4 pages",
  abstract =     "System identification techniques are applied in many
                 fields in order to model and predict the behaviours of
                 unknown systems given input-output data. Their
                 practical application domains include pattern
                 recognition, time-series prediction, Boolean function
                 generation, and symbolic regression. Many evolutionary
                 computation approaches have been tested in solving
                 these problems. This section addresses brief summaries
                 of these approaches, and compares them with alternative
                 traditional approaches such as the group method of data

Genetic Programming entries for Hitoshi Iba