A watershed water quality prediction model based on attention mechanism and Bi-LSTM

Accurate prediction of water quality contributes to the intelligent management and control of watershed ecology. Water Quality data has time series characteristics, but the existing models only focus on the forward time series when LSTM is introduced and do not consider the effect of the reverse tim...

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Detalles Bibliográficos
Autores principales: Zhang, Qiang, Wang, Ruiqi, Qi, Ying, Wen, Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9163529/
https://www.ncbi.nlm.nih.gov/pubmed/35657549
http://dx.doi.org/10.1007/s11356-022-21115-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9163529/
https://www.ncbi.nlm.nih.gov/pubmed/35657549
http://dx.doi.org/10.1007/s11356-022-21115-y

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