Gene expression programming to predict the discharge coefficient in rectangular side weirs
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- @Article{journals/asc/EbtehajBZAS15,
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author = "Isa Ebtehaj and Hossein Bonakdari and
Amir Hossein Zaji and Hamed Azimi and Ali Sharifi",
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title = "Gene expression programming to predict the discharge
coefficient in rectangular side weirs",
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journal = "Applied Soft Computing",
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year = "2015",
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volume = "35",
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bibdate = "2015-11-26",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/journals/asc/asc35.html#EbtehajBZAS15",
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pages = "618--628",
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keywords = "genetic algorithms, genetic programming, gene
expression programming, Discharge coefficient,
Sensitivity analysis, Side weir",
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ISSN = "1568-4946",
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DOI = "doi:10.1016/j.asoc.2015.07.003",
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URL = "http://www.sciencedirect.com/science/article/pii/S1568494615004330",
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abstract = "In this study, gene expression programming (GEP) is
employed as a new method for estimating the side weir
discharge coefficient. The accuracy of existing
equations in evaluating the side weir discharge
coefficient is first examined. Afterwards, taking into
consideration the dimensionless parameters that affect
the estimation of this parameter and sensitivity
analysis, five different models are presented.
Coefficient determination (R2), root mean square error
(RMSE), mean absolute relative error (MARE), scatter
index (SI) and BIAS are used for measuring the models
performance. Two sets of experimental data are applied
to evaluate the models. According to the results
obtained indicate that the model with Froude number
(F1), dimensionless weir length (b/B), ratio of weir
length to depth of upstream flow (b/y1), and ratio of
weir height to its length (p/y1) parameters of
R2=0.947, MARE=0.05, RMSE=0.037, BIAS=0.01 and
SI=0.067, performed the best. Accordingly, this new
equation proposed through GEP can be used for
estimating the discharge coefficient in rectangular
sharp-crested side weirs.",
- }
Genetic Programming entries for
Isa Ebtehaj
Hossein Bonakdari
Amir Hossein Zaji
Hamed Azimi
Ali Sharifi
Citations