Gene expression programming for total bed material load estimation--a case study
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @Article{Zakaria20105078,
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author = "Nor Azazi Zakaria and H. Md. Azamathulla and
Chun Kiat Chang and Aminuddin {Ab. Ghani}",
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title = "Gene expression programming for total bed material
load estimation--a case study",
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journal = "Science of The Total Environment",
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volume = "408",
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number = "21",
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pages = "5078--5085",
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year = "2010",
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ISSN = "0048-9697",
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DOI = "doi:10.1016/j.scitotenv.2010.07.048",
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URL = "http://www.sciencedirect.com/science/article/B6V78-50S2D5B-5/2/e5d28d28a79203ddeddf5140cf679798",
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keywords = "genetic algorithms, genetic programming, gene
expression programming, Alluvial channels, Sediment
transport, Total bed material load, River engineering",
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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