A Hybrid Model of Ensemble Empirical Mode Decomposition and Sparrow Search Algorithm-Based Long Short-Term Memory Neural Networks for Monthly Runoff Forecasting

Monthly runoff forecasting plays a vital role in reservoir ecological operation, which can reduce the negative impact of dam construction and operation on the river ecosystem. Numerous studies have been conducted to improve monthly runoff forecast accuracy, of which machine learning methods have bee...

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書誌詳細

出版年:	Frontiers in Environmental Science
主要な著者:	Bao-Jian Li, Jing-Xin Yang, Qing-Yuan Luo, Wen-Chuan Wang, Tai-Heng Zhang, Ling Zhong, Guo-Liang Sun
フォーマット:	論文
言語:	英語
出版事項:	Frontiers Media S.A. 2022-07-01
主題:	monthly runoff forecasting machine learning ensemble empirical mode decomposition sparrow optimization algorithm long short-term neural networks
オンライン･アクセス:	https://www.frontiersin.org/articles/10.3389/fenvs.2022.909682/full