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Predicting water quality through daily concentration of dissolved oxygen using improved artificial intelligence
As an important hydrological parameter, dissolved oxygen (DO) concentration is a well-accepted indicator of water quality. This study deals with introducing and evaluating four novel integrative methods for the prediction of DO. To this end, teaching–learning-based optimization (TLBO), sine cosine a...
Autor principal: | Yang, Jiahao |
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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/PMC10663494/ https://www.ncbi.nlm.nih.gov/pubmed/37989875 http://dx.doi.org/10.1038/s41598-023-47060-5 |
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