Flow prediction in the lower Yellow River based on CEEMDAN-BILSTM coupled model

Flow prediction in the lower Yellow River based on CEEMDAN-BILSTM coupled model

As one of the important hydrological elements of rivers, flow is of great significance to the development and utilization of water resources and the ecological environment. Based on the excellent nonlinear processing capability of CEEMDAN and the advantages of BILSTM in time-series data modeling, a...

Full description

Bibliographic Details
Main Authors: Xianqi Zhang, Wenbao Qiao, Jiafeng Huang, Jingwen Shi, Minghui Zhang
Format: Article
Language:English
Published: IWA Publishing 2023-01-01
Series:Water Supply
Subjects:
ceemdan-bilstm
flow prediction
middle and lower reaches of the yellow river
neural network
Online Access:http://ws.iwaponline.com/content/23/1/396

Internet

http://ws.iwaponline.com/content/23/1/396

Similar Items