Prediction of discharge coefficients for broad-crested weirs using expert systems-Reference-Cited by-同舟云学术

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Prediction of discharge coefficients for broad-crested weirs using expert systems

Published:2021-12-19 Issue: Volume: Page:1-11
ISSN:0971-5010
Container-title:ISH Journal of Hydraulic Engineering
language:en
Short-container-title:ISH Journal of Hydraulic Engineering

Author:

Salmasi Farzin¹^ORCID,Nahrain Farnaz²,Abraham John³,Taheri Aghdam Ali¹

Affiliation:

1. Department of Water Engineering, Faculty of Agriculture, University of Tabriz, Tabriz, Iran

2. Department of Water Engineering, Faculty of Agriculture, University of Tabriz, Tabriz, Ira

3. School of Engineering, University of St. Thomas Minnesota, Minnesota, USA

Publisher

Informa UK Limited

Subject

Fluid Flow and Transfer Processes,Water Science and Technology,Civil and Structural Engineering,Environmental Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/09715010.2021.1983477

Reference28 articles.

1. Application of Gaussian Process Regression Model to Predict Discharge Coefficient of Gated Piano Key Weir

2. Discussion of “New Theoretical Solution of the Stage-Discharge Relationship for Sharp-Crested and Broad Weirs” by V. Ferro

3. Development of rectangular broad-crested weirs for flow characteristics and discharge measurement

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1. Data-intelligence approaches for comprehensive assessment of discharge coefficient prediction in cylindrical weirs: Insights from extensive experimental data sets;Measurement;2024-06

2. Discharge coefficient estimation of modified semi-cylindrical weirs using machine learning approaches;Stochastic Environmental Research and Risk Assessment;2024-05-13

3. Discharge estimation using brink depth over a trapezoidal-shaped weir;Flow Measurement and Instrumentation;2023-12

4. Experimental investigation and prediction of free fall jet scouring using machine learning models;International Journal of Sediment Research;2023-06

5. Prediction of discharge coefficient of the trapezoidal broad-crested weir flow using soft computing techniques;Neural Computing and Applications;2023-05-04

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