Gene-expression programming to predict friction factor for Southern Italian rivers

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

@Article{journals/nca/Azamathulla13,
  title =        "Gene-expression programming to predict friction factor
                 for Southern Italian rivers",
  author =       "H. Md. Azamathulla",
  journal =      "Neural Computing and Applications",
  year =         "2013",
  number =       "5",
  volume =       "23",
  pages =        "1421--1426",
  keywords =     "genetic algorithms, genetic programming, gene
                 expression programming, GEP, Rivers, Friction factor,
                 Streams, Gravel-bed",
  bibdate =      "2013-09-27",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/journals/nca/nca23.html#Azamathulla13",
  URL =          "http://dx.doi.org/10.1007/s00521-012-1091-2",
  size =         "6 pages",
  abstract =     "This briefing article presents gene-expression
                 programming (GEP), which is an extension to genetic
                 programming, as an alternative approach to predict
                 friction factor for Southern Italian rivers. Published
                 data were compiled for the friction for 43 gravel-bed
                 rivers of Calabria. The proposed GEP approach produces
                 satisfactory results (R-squared = 0.958 and RMSE =
                 0.079) compared with existing predictors.",
}

Genetic Programming entries for Hazi Mohammad Azamathulla

Citations