Meteorological time series modeling using an adaptive gene expression programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4340

  author =       "Alina Barbulescu and Elena Bautu",
  title =        "Meteorological time series modeling using an adaptive
                 gene expression programming",
  booktitle =    "Proceedings of the 10th WSEAS International Conference
                 on Evolutionary Computation",
  year =         "2009",
  editor =       "Nikos E. Mastorakis and Anca Croitoru and 
                 Valentina Emilia Balas and Eduard Son and Valeri Mladenov",
  pages =        "17--22",
  address =      "Prague, Czech",
  publisher_address = "Stevens Point, Wisconsin, USA",
  month =        "23-25 " # mar,
  publisher =    "World Scientific and Engineering Academy and Society
  keywords =     "genetic algorithms, genetic programming, Gene
                 Expression Programming",
  isbn13 =       "978-960-474-067-3",
  ISSN =         "1790-5109",
  URL =          "",
  size =         "6 pages",
  acmid =        "1561917",
  abstract =     "The precipitations are characterised by important
                 spatial and temporal variation. Model determination for
                 such series is of high importance for hydrological
                 purposes (e.g. weather forecasting, agriculture, flood
                 areas, administrative planning), even if discovering
                 patterns in such series is a very difficult problem.
                 The objective of the current study is to describe the
                 use of an adaptive evolutionary technique that give
                 promising results for the development of non-linear
                 time series models.",
  notes =        "

Genetic Programming entries for Alina Barbulescu Elena Bautu