An efficient classified radial basis neural network for prediction of flow variables in sharp open-channel bends-Reference-Cited by-同舟云学术

An efficient classified radial basis neural network for prediction of flow variables in sharp open-channel bends

Published:2019-07-15 Issue:6 Volume:9 Page:
ISSN:2190-5487
Container-title:Applied Water Science
language:en
Short-container-title:Appl Water Sci

Author:

Gholami Azadeh,Bonakdari Hossein,Zaji Amir Hossein,Akhtari Ali Akbar

Publisher

Springer Science and Business Media LLC

Subject

Water Science and Technology

Link

http://link.springer.com/content/pdf/10.1007/s13201-019-1020-y.pdf

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3. Akhtari AA, Seyedashraf O (2017) Experimental and numerical investigation on vanes’ effects on the flow characteristics in sharp 60° bends. KSCE J Civ Eng 22:1–12

4. Akhtari AA, Abrishami J, Sharifi MB (2009) Experimental investigations of water surface characteristics in strongly-curved open channels. J Appl Sci 9(20):3699–3706

5. Al Sudani ZA, Salih SQ, Yaseen ZM (2019) Development of multivariate adaptive regression spline integrated with differential evolution model for streamflow simulation. J Hydrol 573:1–12

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