Discussion of “Energy Dissipation Prediction for Stepped Spillway Based on Genetic Algorithm–Support Vector Regression” by Lei Jiang, Mingjun Diao, Hongcheng Xue, and Haomiao Sun
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Acknowledgments
The discussers acknowledge the financial support of the National Natural Science Foundation of China (Grant Nos. 51809079 and 51779082), the Fundamental Research Funds for Central Universities (Grant No. 2019B18414), and the China Postdoctoral Science Foundation (Grant No. 2018M632218).
References
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Roushangar, K., S. Akhgar, F. Salmasi, and J. Shiri. 2014. “Modeling energy dissipation over stepped spillways using machine learning approaches.” J. Hydrol. 508 (16): 254–265. https://doi.org/10.1016/j.jhydrol.2013.10.053.
Salmasi, F., and M. Özger. 2014. “Neuro-fuzzy approach for estimating energy dissipation in skimming flow over stepped spillways.” Arabian J. Sci. Eng. 39 (8): 6099–6108. https://doi.org/10.1007/s13369-014-1240-2.
Sholichin, M., V. Dermawan, S. Suhardjono, and D. S. Krisnayanti. 2016. “Energy dissipation of skimming flow on flat and pooled stepped spillways.” Aust. J. Basic Appl. Sci. 10 (6): 62–68.
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Journal of Irrigation and Drainage Engineering
Volume 145 • Issue 7 • July 2019
Copyright
©2019 American Society of Civil Engineers.
History
Received: Jun 26, 2018
Accepted: Jul 25, 2018
Published online: Apr 22, 2019
Published in print: Jul 1, 2019
Discussion open until: Sep 22, 2019
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