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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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書誌詳細
主要な著者:	Rosminah Mustakim, Mazlina Mamat
フォーマット:	論文
言語:	English English
出版事項:	UniSE Press 2021
主題:	TD878-894 Special types of environment Including soil pollution, air pollution, noise pollution
オンライン･アクセス:	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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