Impact of Different Mode Decomposition Methods Combined with LSTM Models on Daily Runoff Forecasting

A combination of modal decomposition and deep learning forecasting methods was introduced to daily runoff forecasting to address the characteristics of unstable and volatile daily runoff series.Firstly,the complete ensemble empirical modal decomposition method was used to decompose the daily runoff...

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Hlavní autoři:	TAN Yongjie, WANG Xianxun, DUAN Mingxu, LIU Yaru, YAO Huaming
Médium:	Artigo
Jazyk:	Chinês
Vydáno:	Editorial Office of Pearl River 2023-01-01
Edice:	Renmin Zhujiang
Témata:	daily runoff forecasting long short-term memory neural network complete ensemble empirical mode decomposition grid search parametric optimization algorithm Yichang hydrological station
On-line přístup:	http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2023.12.007
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