Genetic Programming in Time Series Modelling: An Application to Meteorological Data

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Katya Rodriguez-Vazquez",
  title =        "Genetic Programming in Time Series Modelling: An
                 Application to Meteorological Data",
  booktitle =    "Proceedings of the 2001 Congress on Evolutionary
                 Computation CEC2001",
  year =         "2001",
  pages =        "261--266",
  address =      "COEX, World Trade Center, 159 Samseong-dong,
                 Gangnam-gu, Seoul, Korea",
  publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
                 08855-1331, USA",
  month =        "27-30 " # may,
  organisation = "IEEE Neural Network Council (NNC), Evolutionary
                 Programming Society (EPS), Institution of Electrical
                 Engineers (IEE)",
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming, SISO NARMAX",
  ISBN =         "0-7803-6658-1",
  URL =          "",
  URL =          "",
  DOI =          "doi:10.1109/CEC.2001.934399",
  abstract =     "This paper describes a genetic programming approach
                 for applications on prediction of real meteorological
                 data. The well-know SISO NARMAX model is used to model
                 and forecast this real time series. The evaluation of
                 candidate models is based on a set of criteria taken
                 into consideration in order to get the simpler and more
                 accurate model for prediction",
  notes =        "CEC-2001 - A joint meeting of the IEEE, Evolutionary
                 Programming Society, Galesia, and the IEE.

                 IEEE Catalog Number = 01TH8546C,

                 Library of Congress Number = Applied to weather
                 forecasting in Mexico.",

Genetic Programming entries for Katya Rodriguez-Vazquez