Machine learning methods for better water quality prediction
In any aquatic system analysis, the modelling water quality parameters are of considerable significance. The traditional modelling methodologies are dependent on datasets that involve large amount of unknown or unspecified input data and generally consist of time-consuming processes. The implementat...
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Main Authors: | , , , , , , , |
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Format: | Article |
Published: |
Elsevier
2019
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Subjects: | |
Online Access: | http://eprints.um.edu.my/23899/ https://doi.org/10.1016/j.jhydrol.2019.124084 |
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Institution: | Universiti Malaya |