The nonlinear autoregressive exogenous neural network performance in predicting Malaysia air pollutant index
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...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English English |
| Published: |
UniSE Press
2021
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| Subjects: | |
| 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 |
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