Groundwater quality prediction based on LSTM RNN: An Iranian experience

Groundwater quality prediction has practical significance for the prevention of water pollution. Based on the exogenous variables which are effective on water quality indicators, this paper proposes a new method with new effective parameters based on LSTM RNN for groundwater quality index prediction...

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Detalles Bibliográficos
Autores principales: Valadkhan, D., Moghaddasi, R., Mohammadinejad, A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9255493/
https://www.ncbi.nlm.nih.gov/pubmed/35813581
http://dx.doi.org/10.1007/s13762-022-04356-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9255493/
https://www.ncbi.nlm.nih.gov/pubmed/35813581
http://dx.doi.org/10.1007/s13762-022-04356-9

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