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

Created by W.Langdon from gp-bibliography.bib Revision:1.7642

@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