Prediction of the roughness coefficient for drainage pipelines with sediments using GA-BPNN

Prediction of the roughness coefficient for drainage pipelines with sediments using GA-BPNN

Accurate prediction of the roughness coefficient of sediment-containing drainage pipes can help engineers optimize urban drainage systems. In this paper, the variation of the roughness coefficient of circular drainage pipes containing different thicknesses of sediments under different flows and slop...

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Bibliographic Details
Main Authors: Bin Sun, Wei Zheng, An Tong, Danyang Di, Zhiwei Li
Format: Article
Language:English
Published: IWA Publishing 2023-08-01
Series:Water Science and Technology
Subjects:
back propagation neural network
genetic algorithm
pipeline with sediments
roughness coefficient
Online Access:http://wst.iwaponline.com/content/88/4/1111

Internet

http://wst.iwaponline.com/content/88/4/1111

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