Water level prediction of Liuxihe Reservoir based on improved long short-term memory neural network

Water level prediction of Liuxihe Reservoir based on improved long short-term memory neural network

To meet the demand of accurate water level prediction of the reservoir in Liuxihe River Basin, this paper proposes an improved long short-term memory (LSTM) neural network based on the Bayesian optimization algorithm and wavelet decomposition coupling. Based on the improved model, the water levels o...

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Bibliographic Details
Main Authors:	Youming Li, Jia Qu, Haosen Zhang, Yan Long, Shu Li
Format:	Article
Language:	English
Published:	IWA Publishing 2023-11-01
Series:	Water Supply
Subjects:	deep learning foresight period long short-term memory reservoir level water level prediction
Online Access:	http://ws.iwaponline.com/content/23/11/4563

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