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A novel RF-CEEMD-LSTM model for predicting water pollution
Accurate water pollution prediction is an important basis for water environment prevention and control. The uncertainty of input variables and the nonstationary and nonlinear characteristics of water pollution series hinder the accuracy and reliability of water pollution prediction. This study propo...
Autores principales: | Ruan, Jinlou, Cui, Yang, Song, Yuchen, Mao, Yawei |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10684549/ https://www.ncbi.nlm.nih.gov/pubmed/38017113 http://dx.doi.org/10.1038/s41598-023-48409-6 |
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