Discussion of “Improving Prediction of Dam Failure Peak Outflow Using Neuroevolution Combined with -Means Clustering” by Amir Hossein Eghbali, Kourosh Behzadian, Farhad Hooshyaripor, Raziyeh Farmani, and Andrew P. Duncan
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VIEW THE ORIGINAL ARTICLEPublication: Journal of Hydrologic Engineering
Volume 23, Issue 5
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References
Beale, M. H., Hagan, M. T., and Demuth, H. B. (2017). Neural network toolbox user’s guide, MathWorks, Natick, MA.
Courivaud, J. R. (2007). “Analysis of the dam breaching database.”, CEATI International, Montréal.
Froehlich, D. C. (2016). “Predicting peak discharge from gradually breached embankment dam.” J. Hydrol. Eng., 04016041.
MATLAB [Computer software]. MathWorks, Natick, MA.
Wahl, T. L. (2014). “Evaluation of erodibility-based embankment dam breach equations.”, U.S. Dept. of the Interior, Denver.
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Journal of Hydrologic Engineering
Volume 23 • Issue 5 • May 2018
Copyright
©2018 American Society of Civil Engineers.
History
Received: May 8, 2017
Accepted: May 18, 2017
Published online: Feb 16, 2018
Published in print: May 1, 2018
Discussion open until: Jul 16, 2018
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Consulting Engineer, 303 Frenchmans Bluff Dr., Cary, NC 27513. E-mail: [email protected]
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