Bedload transport of small rivers in Malaysia

Created by W.Langdon from gp-bibliography.bib Revision:1.4208

  author =       "Zahra {Zangeneh Sirdari} and Aminuddin {Ab. Ghani} and 
                 Zorkeflee Abu Hassan",
  title =        "Bedload transport of small rivers in {Malaysia}",
  journal =      "International Journal of Sediment Research",
  volume =       "29",
  number =       "4",
  pages =        "481--490",
  year =         "2014",
  keywords =     "genetic algorithms, genetic programming, Bedload
                 transport, Small rivers, Artificial neural network",
  ISSN =         "1001-6279",
  DOI =          "doi:10.1016/S1001-6279(14)60061-5",
  URL =          "",
  abstract =     "Numerous time-consuming equations, based on the
                 relationship between the reliability and
                 representativeness of the data used in defining
                 variables and constants, require complex parameters to
                 estimate bedload transport. In this study the easily
                 accessible data including flow discharge, water depth,
                 water surface slope, and surface grain diameter (d50)
                 from small rivers in Malaysia were used to estimate
                 bedload transport. Genetic programming (GP) and
                 artificial neural network (ANN) models are applied as
                 complementary tools to estimate bed load transport
                 based on a balance between simplicity and accuracy in
                 small rivers. The developed models demonstrate higher
                 performance with an overall accuracy of 97percent and
                 93percent for ANN and GP, respectively compared with
                 other traditional methods and empirical equations.",

Genetic Programming entries for Zahra Zangeneh Sirdari Aminuddin Ab Ghani Zorkeflee Abu Hassan