NDLI: Research on flow and pressure prediction of urban water supply pipeline network based on GA-BP algorithm

Content Provider	Scilit
Author	Xia, Wei Wang, Yongyou Liu, Runhao Wang, Shi
Copyright Year	2021
Description	Journal: Journal of Physics: Conference Series In order to realize the optimal scheduling and energy saving of urban water supply pipeline system, a method of flow and pressure prediction of water supply pipeline network based on genetic algorithm and BP neural network is proposed in the paper. The flow and pressure prediction models of urban water supply network are built, then tests and verifies the models by the dates obtained from the water supply monitoring system, so as to provide control basis for optimal operation of urban water supply pipeline network.
Related Links	https://iopscience.iop.org/article/10.1088/1742-6596/1792/1/012045/pdf
ISSN	17426588
e-ISSN	17426596
DOI	10.1088/1742-6596/1792/1/012045
Journal	Journal of Physics: Conference Series
Issue Number	1
Volume Number	1792
Language	English
Publisher	IOP Publishing
Publisher Date	2021-02-01
Access Restriction	Open
Subject Keyword	Journal: Journal of Physics: Conference Series Energy Saving Urban Water Pressure Prediction Flow and Pressure Supply Pipeline Network
Content Type	Text
Resource Type	Article
Subject	Physics and Astronomy

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