Performance comparison of Malaysian air pollution index prediction using nonlinear autoregressive exogenous artificial neural network and support vector machine

This paper compares the performance of Nonlinear Autoregressive Exogenous (NARX) Neural Network and Support Vector Machine (SVM) regression model to predict the Air Pollutant Index (API) in Malaysia. Two models namely the NARX and SVM regression were developed using the API and air quality time seri...

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Bibliographic Details
Main Authors: Rosminah Mustakim, Mazlina Mamat
Format: Proceedings
Language:English
English
Published: EDP Sciences 2021
Subjects:
Online Access:https://eprints.ums.edu.my/id/eprint/32536/1/Performance%20comparison%20of%20Malaysian%20air%20pollution%20index%20prediction%20using%20nonlinear%20autoregressive%20exogenous%20artificial%20neural%20network%20and%20support%20vector%20machine.ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/32536/2/Performance%20comparison%20of%20Malaysian%20air%20pollution%20index%20prediction%20using%20nonlinear%20autoregressive%20exogenous%20artificial%20neural%20network%20and%20support%20vector%20machine.pdf