Assessing the feasibility of using Machine learning algorithms to determine reservoir water quality based on a reduced set of predictors
The present study analyses the possibility of assessing water quality using the water quality index (WQI) through the application of four different machine learning algorithms (ML): neural network models (NNM), random forest (RF), k-nearest neighbor (KNN), and linear regression (LR). Water quality w...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | Ecological Indicators |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X25004868 |
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