Spatiotemporal forecasting of housing prices by use of genetic programming

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

@Unpublished{agb_kaboudan_paper,
  author =       "Mak Kaboudan",
  title =        "Spatiotemporal forecasting of housing prices by use of
                 genetic programming",
  note =         "A paper presented during the 16th Annual Meeting of
                 the Association of Global Business in Cancun Mexico,
                 November 18-21, 2004.",
  month =        nov,
  year =         "2004",
  email =        "Mak_kaboudan@Redlands.edu",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://bulldog2.redlands.edu/fac/mak_kaboudan/agb_kaboudan_paper.pdf",
  abstract =     "Complexity of space-time analysis remains a major
                 problem faced by forecasters. Theoretical issues and
                 forecast inaccuracy emanate from specification error,
                 aggregation error, measurement error, and perhaps model
                 complexity. Because such problems are mainly
                 statistical in nature, employing techniques not based
                 on statistical methods is tested here. Two
                 computational techniques (genetic programming and
                 neural networks) are employed to demonstrate their
                 potential. Their forecasts can help deliver sequences
                 of maps of the same geographic region depicting future
                 temporal changes.",
  notes =        "http://falcon.jmu.edu/~damanpfx/

                 ",
}

Genetic Programming entries for Mahmoud A Kaboudan

Citations