Research on precipitation prediction based on a complete ensemble empirical mode decomposition with adaptive noise–long short-term memory coupled model

Research on precipitation prediction based on a complete ensemble empirical mode decomposition with adaptive noise–long short-term memory coupled model

Scientific precipitation predicting is of great value and guidance to regional water resources development and utilization, agricultural production, and drought and flood control. Precipitation is a nonlinear, non-smooth time series with significant stochasticity and uncertainty. In this paper, a co...

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Bibliographic Details
Main Authors: Shaolei Guo, Yihao Wen, Xianqi Zhang, Guoyu Zhu, Jiafeng Huang
Format: Article
Language:English
Published: IWA Publishing 2022-12-01
Series:Water Supply
Subjects:
ceemdan
lstm
matlab
precipitation prediction
zhengzhou
Online Access:http://ws.iwaponline.com/content/22/12/9061

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http://ws.iwaponline.com/content/22/12/9061

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