Performance Evaluation of Gene Expression Programming for Hydraulic Data Mining

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@Article{Eldrandaly:2008:IAJIT,
  author =       "Khalid Eldrandaly and Abdel-Azim Negm",
  title =        "Performance Evaluation of Gene Expression Programming
                 for Hydraulic Data Mining",
  journal =      "The International Arab Journal of Information
                 Technology",
  year =         "2008",
  volume =       "5",
  number =       "2",
  pages =        "126--131",
  month =        apr,
  email =        "khalid_eldrandaly@yahoo.com",
  keywords =     "genetic algorithms, genetic programming, gene
                 expression programming, GEP, Data mining, multiple
                 linear regression, MLR, hydraulic jump.",
  URL =          "http://www.ccis2k.org/iajit/PDF/vol.5,no.2/4-103.pdf",
  size =         "6 pages",
  abstract =     "Predication is one of the fundamental tasks of data
                 mining. In recent years, Artificial Intelligence
                 techniques are widely being used in data mining
                 applications where conventional statistical methods
                 were used such as Regression and classification. The
                 aim of this work is to show the applicability of Gene
                 Expression Programming (GEP), a recently developed AI
                 technique, for hydraulic data prediction and to
                 evaluate its performance by comparing it with Multiple
                 Linear Regression (MLR). Both GEP and MLR were used to
                 model the hydraulic jump over a roughened bed using
                 very large series of experimental data that contain all
                 the important flow and roughness parameters such as the
                 initial Froude number, the height of roughness ratio,
                 the length of roughness ratio, the initial length ratio
                 (from the gate) and the roughness density. The results
                 show that GEP is a promising AI approach for hydraulic
                 data prediction.",
  notes =        "Information Systems Department, College of Computers,
                 Zagazig University, Egypt http://www.iajit.org/",
}

Genetic Programming entries for Khalid Aly Eldrandaly Abdel-Azim Negm

Citations