Discussion of “Combination of Computational Fluid Dynamics, Adaptive Neuro-Fuzzy Inference System, and Genetic Algorithm for Predicting Discharge Coefficient of Rectangular Side Orifices” by Hamed Azimi, Saeid Shabanlou, Isa Ebtehaj, Hossein Bonakdari, and Saeid Kardar
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VIEW THE ORIGINAL ARTICLEPublication: Journal of Irrigation and Drainage Engineering
Volume 144, Issue 5
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References
Azimi, H., Shabanlou, S., Ebtehaj, I., Bonakdari, H., and Kardar, S. (2017). “Combination of computational fluid dynamics, adaptive neuro-fuzzy inference system, and genetic algorithm for predicting discharge coefficient of rectangular side orifices.” J. Irrig. Drain. Eng., 04017015.
Trinh, V. C., Holifield, G. A., and Wu, A. S. (2003). “Applied cloning techniques for a genetic algorithm used in evolvable hardware design.” Proc., 7th World Multiconference on Systemics, Cybernetics, and Informatics, Orlando, FL.
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Journal of Irrigation and Drainage Engineering
Volume 144 • Issue 5 • May 2018
Copyright
©2018 American Society of Civil Engineers.
History
Received: Aug 7, 2017
Accepted: Sep 8, 2017
Published online: Feb 20, 2018
Published in print: May 1, 2018
Discussion open until: Jul 20, 2018
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Professor, Faculty of Natural Sciences and Engineering, Ilia State Univ., Tbilisi 0162, Georgia. E-mail: [email protected]
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