Forecasting of Kelantan’s air pollution index [AP] PM2.5 using support vector machine [SVM] / Nur Fithrinnisaa Zamani

• Main Author: Zamani, Nur Fithrinnisaa
• Format: Thesis
• Language: English
• Published: 2021
• Subjects: Multivariate analysis. Cluster analysis. Longitudinal method; Time-series analysis; Air pollution and its control
• Online Access: http://ir.uitm.edu.my/id/eprint/44440/1/44440.pdf; http://ir.uitm.edu.my/id/eprint/44440/

Forecasting the air pollution index has become a popular topic in recent years due to the impact of air pollution on environmental and human health. The Support Vector Machine (SVM) is not only appropriate for object classification, regression analysis and pattern recognition, it can also be used in...