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...

Full description

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

Internet

http://ws.iwaponline.com/content/23/11/4563

Similar Items