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

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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Bibliographic Details
Main Author: Wan Mohd Rosly, Wan Nur Shaziayani
Format: Thesis
Language:English
Published: 2022
Subjects:
Atmospheric temperature
Online Access:https://ir.uitm.edu.my/id/eprint/66923/1/66923.pdf
https://ir.uitm.edu.my/id/eprint/66923/
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Institution: Universiti Teknologi Mara
Language: English

Internet

https://ir.uitm.edu.my/id/eprint/66923/1/66923.pdf
https://ir.uitm.edu.my/id/eprint/66923/

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