Discharge coefficient prediction and sensitivity analysis for triangular broad‐crested weir using machine learning methods

Discharge coefficient prediction and sensitivity analysis for triangular broad‐crested weir using machine learning methods

Abstract The broad‐crested weir is convenient to construct and has a small amount of excavation, widely used in practical engineering. Discharge computing has been the focus of research on this structure, thus developing generalized regression neural network (GRNN), genetic programming (GP), and ext...

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Bibliographic Details
Main Authors: Guiying Shen, Dingye Cao, Abbas Parsaie
Format: Article
Language:English
Published: Wiley-VCH 2024-08-01
Series:River
Subjects:
broad‐crested weir
discharge coefficient
machine learning
quantitative analysis
Online Access:https://doi.org/10.1002/rvr2.95
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https://doi.org/10.1002/rvr2.95

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