The application of transfer machine learning to predict and impute missing sulphate levels in different Acid Mine Drainage treatment plants
An accurately pre-trained stacking ensemble machine learning regressor was used to predict sulphate levels in two other Acid Mine Drainage (AMD) treatment plants using Transfer Learning (TL). The model was trained on the large Central Rand (CR) water quality dataset and was used to predict and imput...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
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| Series: | Cleaner Water |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2950263224000279 |
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