Multilevel split of high-dimensional water quality data using artificial neural networks for the prediction of dissolved oxygen in the Danube River
Author:
Funder
Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/article/10.1007/s00521-019-04079-y/fulltext.html
Reference45 articles.
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3. Yeon IS, Kim JH, Jun KW (2008) Application of artificial intelligence models in water quality forecasting. Environ Technol 29:625–631. https://doi.org/10.1080/09593330801984456
4. Wetzel RG, Likens GE (2000) Dissolved oxygen. Limnological analyses. Springer, New York, pp 73–84. https://doi.org/10.1007/978-1-4757-3250-4_6
5. Heddam S, Kisi O (2017) Extreme learning machines: a new approach for modeling dissolved oxygen (DO) concentration with and without water quality variables as predictors. Environ Sci Pollut Res 24:16702–16724. https://doi.org/10.1007/s11356-017-9283-z
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