Accurate discharge coefficient prediction of streamlined weirs by coupling linear regression and deep convolutional gated recurrent unit

Accurate discharge coefficient prediction of streamlined weirs by coupling linear regression and deep convolutional gated recurrent unit

Streamlined weirs, which are a nature-inspired type of weir, have gained tremendous attention among hydraulic engineers, mainly owing to their established performance with high discharge coefficients. Computational fluid dynamics (CFD) is considered as a robust tool to predict the discharge coeffici...

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Bibliographic Details
Main Authors: Weibin Chen, Danial Sharifrazi, Guoxi Liang, Shahab S. Band, Kwok Wing Chau, Amir Mosavi
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:Engineering Applications of Computational Fluid Mechanics
Subjects:
Streamlined weirs
discharge prediction
deep learning
machine learning
deep convolutional neural network
gated recurrent unit
Online Access:https://www.tandfonline.com/doi/10.1080/19942060.2022.2053786

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