Gene expression programming for total bed material load estimation--a case study

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@Article{Zakaria20105078,

• author = "Nor Azazi Zakaria and H. Md. Azamathulla and Chun Kiat Chang and Aminuddin {Ab. Ghani}",
• title = "Gene expression programming for total bed material load estimation--a case study",
• journal = "Science of The Total Environment",
• volume = "408",
• number = "21",
• pages = "5078--5085",
• year = "2010",
• ISSN = "0048-9697",
• DOI = "doi:10.1016/j.scitotenv.2010.07.048",
• URL = "http://www.sciencedirect.com/science/article/B6V78-50S2D5B-5/2/e5d28d28a79203ddeddf5140cf679798",
• keywords = "genetic algorithms, genetic programming, gene expression programming, Alluvial channels, Sediment transport, Total bed material load, River engineering",
• abstract = "This paper presents Gene-Expression Programming (GEP), which is an extension to the genetic programming (GP) approach to predict the total bed material load for three Malaysian rivers. The GEP is employed without any restriction to an extensive database compiled from measurements in the Muda, Langat, and Kurau rivers. The GEP approach demonstrated a superior performance compared to other traditional sediment load methods. The coefficient of determination, R2 (= 0.97) and the mean square error, MSE (= 0.057) of the GEP method are higher than those of the traditional method. The performance of the GEP method demonstrates its predictive capability and the possibility of the generalisation of the model to nonlinear problems for river engineering applications.",

}

Genetic Programming entries for Nor Azazi Zakaria Hazi Mohammad Azamathulla Chun Kiat Chang Aminuddin Ab Ghani

Citations