Application of ensemble learning techniques to model the atmospheric concentration of SO2
In view of pollution prediction modeling, the study adopts homogenous (random forest, bagging, and additive regression) and heterogeneous (voting) ensemble classifiers to predict the atmospheric concentration of Sulphur dioxide. For model validation, results were compared against widely known single...
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| Format: | Article |
| Language: | English |
| Published: |
GJESM Publisher
2019-07-01
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| Series: | Global Journal of Environmental Science and Management |
| Subjects: | |
| Online Access: | https://www.gjesm.net/article_35122_1c70e37aad0d7e7a5b523c49b40b8256.pdf |
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