Artificial intelligence-based single and hybrid models for prediction of water quality in rivers: A review
The need for accurate predictions of water quality in rivers has encouraged researchers to develop new methods and to improve the predictive ability of conventional models. In recent years, artificial intelligence (AI)-based methods have been recognized significantly powerful for this purpose. In th...
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Published in | Chemometrics and intelligent laboratory systems Vol. 200; p. 103978 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
15.05.2020
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Subjects | |
Online Access | Get full text |
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