An enhanced boosted regression tree model for the prediction of PM10 concentration level using SVM_BRT with QR loss function coupling approach / Wan Nur Shaziayani Wan Mohd Rosly
Malaysia experiences transboundary haze episodes in which the air contains particulate matter (PM) that is harmful to human health and the environment. Therefore, the main prediction model used in this study is Boosted Regression Trees (BRT) to predict three days ahead of PM10 concentration. However...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/66923/1/66923.pdf |
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