Runoff prediction of lower Yellow River based on CEEMDAN–LSSVM–GM(1,1) model

Accurate medium and long-term runoff forecasts play a vital role in guiding the rational exploitation of water resources and improving the overall efficiency of water resources use. Machine learning is becoming a common trend in time series forecasting research. Least squares support vector machine...

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Detalles Bibliográficos
Autores principales: Guo, Shaolei, Wen, Yihao, Zhang, Xianqi, Chen, Haiyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9883488/
https://www.ncbi.nlm.nih.gov/pubmed/36707680
http://dx.doi.org/10.1038/s41598-023-28662-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9883488/
https://www.ncbi.nlm.nih.gov/pubmed/36707680
http://dx.doi.org/10.1038/s41598-023-28662-5

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