The nonlinear autoregressive exogenous neural network performance in predicting Malaysia air pollutant index

• Main Authors: Rosminah Mustakim, Mazlina Mamat
• Format: Article
• Language: English; English
• Published: UniSE Press 2021
• Subjects: TD878-894 Special types of environment Including soil pollution, air pollution, noise pollution
• Online Access: https://eprints.ums.edu.my/id/eprint/32936/1/The%20nonlinear%20autoregressive%20exogenous%20neural%20network%20performance%20in%20predicting%20Malaysia%20air%20pollutant%20index.pdf; https://eprints.ums.edu.my/id/eprint/32936/4/The%20nonlinear%20autoregressive%20exogenous%20neural%20network%20performance%20in%20predicting%20Malaysia%20air%20pollutant%20index%20_ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/32936/; http://tost.unise.org/pdfs/vol8/no3-2/ToST-CoFA2020-305-310-OA.pdf

Predicting the air quality is important particularly in the areas where air pollution is becoming a major health problem. This paper presents and evaluates the Nonlinear Autoregressive Exogenous (NARX) Neural Network performance in predicting the Air Pollutant Index (API) at three industrial areas i...