A linear genetic programming approach for the prediction of solar global radiation

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@Article{journals/nca/ShavandiR13,
  author =       "Hassan Shavandi and Sara Saeidi Ramiyani",
  title =        "A linear genetic programming approach for the
                 prediction of solar global radiation",
  journal =      "Neural Computing and Applications",
  year =         "2013",
  volume =       "23",
  number =       "3-4",
  pages =        "1197--1204",
  month =        sep,
  keywords =     "genetic algorithms, genetic programming, solar global
                 radiation, linear genetic programming, climatological
                 parameters, prediction",
  publisher =    "Springer",
  ISSN =         "0941-0643",
  bibdate =      "2013-09-24",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/journals/nca/nca23.html#ShavandiR13",
  URL =          "http://dx.doi.org/10.1007/s00521-012-1039-6",
  DOI =          "doi:10.1007/s00521-012-1039-6",
  abstract =     "in this article, the linear genetic programming (LGP)
                 is used to predict the solar global radiation. The
                 solar radiation is formulated in terms of several
                 climatological and meteorological parameters.
                 Comprehensive databases containing monthly data
                 collected for 6 years (1995-2000) in two nominal cities
                 in Iran are used to develop LGP-based models. Separate
                 models are established for each city. To verify the
                 performance of the proposed models, they are applied to
                 estimate the solar global radiation of test data of
                 database. The contribution of the parameters affecting
                 the solar radiation is evaluated through a sensitivity
                 analysis. The results indicate that the LGP models give
                 precise estimations of the solar global radiation and
                 significantly outperform traditional Angstrom's
                 model.",
  notes =        "second author name corrected as per erratum",
}

Genetic Programming entries for Hassan Shavandi Sara Saeidi Ramiyani

Citations