Modeling monthly mean maximum temperature using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{Shahid:2007:ijscomp,
  author =       "S. Shahid and M. Hasan and R. U. Mondal",
  title =        "Modeling monthly mean maximum temperature using
                 genetic programming",
  journal =      "International Journal of Soft Computing",
  year =         "2007",
  volume =       "2",
  number =       "5",
  pages =        "612--616",
  keywords =     "genetic algorithms, genetic programming, Climate
                 prediction",
  ISSN =         "1816-9503",
  URL =          "http://docsdrive.com/pdfs/medwelljournals/ijscomp/2007/612-616.pdf",
  URL =          "http://medwelljournals.com/abstract/?doi=ijscomp.2007.612.616",
  DOI =          "doi:10.3923/ijscomp.2007.612.616",
  size =         "5 pages",
  abstract =     "Climate is a continuous, data-intensive,
                 multidimensional, dynamic and chaotic process.
                 Conventional classical methods, generally used for
                 prediction from historical time series data, often fail
                 to predict climate reliably. Recently, various soft
                 computing techniques are being used for their
                 prediction. Genetic programming has been used in this
                 study for the modeling of monthly mean maximum
                 temperature. The result is compared to that obtained by
                 using neural network. The study shows that the model
                 produced by genetic programming can be used for the
                 reliable prediction of monthly mean maximum temperature
                 of the area. Though the result obtained by genetic
                 programming is more erroneous compared to neural
                 network, it provides an equation that could be used for
                 reasonable prediction of monthly mean maximum
                 temperature manually.",
}

Genetic Programming entries for Shamsuddin Shahid M Hasan R U Mondal

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