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Open Access

Peer-reviewed

Research Article

Drought prediction based on an improved VMD-OS-QR-ELM model

Yang Liu ,

Roles Conceptualization, Data curation, Methodology, Writing – original draft, Writing – review & editing

* E-mail: ly_research@126.com

Affiliation School of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou, Henan, China

https://orcid.org/0000-0003-4188-7907

⨯
Li Hu Wang,

Roles Conceptualization, Methodology, Writing – original draft, Writing – review & editing

Affiliation School of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou, Henan, China
⨯
Li Bo Yang,

Roles Conceptualization, Data curation, Methodology

Affiliation School of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou, Henan, China
⨯
Xue Mei Liu

Roles Data curation, Formal analysis, Funding acquisition

Affiliation School of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou, Henan, China
⨯

Drought prediction based on an improved VMD-OS-QR-ELM model

Yang Liu,
Li Hu Wang,
Li Bo Yang,
Xue Mei Liu

x

Published: January 6, 2022
https://doi.org/10.1371/journal.pone.0262329

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Drought
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Forecasting
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Artificial neural networks
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Singular value decomposition
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Machine learning algorithms
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