Utilization of computational intelligence approaches to estimate the relative head of PK-Weir for submerged flow-Reference-Cited by-同舟云学术

Utilization of computational intelligence approaches to estimate the relative head of PK-Weir for submerged flow

Published:2021-04-26 Issue:19 Volume:33 Page:13001-13013
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Belaabed Faris^ORCID,Goudjil Kamel^ORCID,Arabet Leila,Ouamane Ahmed

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-021-05996-7.pdf

Reference39 articles.

1. Ouamane A, Lempérière F (2003) The piano keys weir: a new cost-effective solution for spillways. Int J Hydropower Dams 10(5):144–149

2. Tullis BP, Dabling MR (2012) Piano Key Weir Submergence in Channel Applications. International Workshop on Piano Key Weir for In-Stream Storage and Dam Safety (PKWISD-2012), New Delhi, India

3. Kabiri-Samani A, Javaheri A (2012) Discharge coefficients for free and submerged flow over piano key weirs. J Hydraul Res 50:114–120

4. Cicero GM, Delisle JR (2013) Discharge characteristics of Piano Key weirs under submerged flow. Proc. of the Int. Labyrinth and Piano Key Weirs II-PKW 2013, Leiden: CRC Press, pp 101–108

5. Cicero GM, Vermeulen J, Laugier F (2016 ) Influence of some geometrical parameters on piano key weir discharge efficiency. Paper presented at the meeting of 6th international Symposium on Hydraulic Structures Hydraulic Structures and Water System Management, Portland, Oregon, USA

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prediction of Coal Seam Permeability by Hybrid Neural Network Prediction Model;Journal of Energy Engineering;2024-08

2. Prediction and optimization of the bearing capacity of strip footing resting on soft soil improved with stone columns using RSM, ANN, and multi-objective GA;Innovative Infrastructure Solutions;2024-04-15

3. Prediction of the Discharge Coefficient of a Labyrinth Weir Type D by an Artificial Neural Network Method;Archives of Hydro-Engineering and Environmental Mechanics;2024-01-01

4. A Comparative Study of Reinforced Soil Shear Strength Prediction by the Analytical Approach and Artificial Neural Networks;Engineering, Technology & Applied Science Research;2022-12-01