コメント: The evaluation on artificial neural networks (ANN) and multiple linear regressions (MLR) models over particulate matter (PM10) variability during haze and non-haze episodes: A decade case study

The evaluation on artificial neural networks (ANN) and multiple linear regressions (MLR) models over particulate matter (PM10) variability during haze and non-haze episodes: A decade case study

The comprehensives of particulate matter studies are needed in predicting future haze occurrences in Malaysia. This paper presents the application of Artificial Neural Networks (ANN) and Multiple Linear Regressions (MLR) coupled with sensitivity analysis (SA) in order to recognize the pollutant rela...

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書誌詳細
主要な著者:	Ku Yusof, Ku Mohd Kalkausar, Azid, Azman, Abdullah Sani, Muhamad Shirwan, Samsudin, Mohd Saiful, Muhammad Amin, Siti Noor Syuhada, Abd Rani, Nurul Latiffah, Jamalani, Mohd Asrul
フォーマット:	論文
言語:	English English English
出版事項:	Penerbit UTM Press 2019
主題:	QD Chemistry
オンライン･アクセス:	http://irep.iium.edu.my/71660/9/71660_The%20evaluation%20on%20artificial%20neural%20networks%20%28ANN%29_mycite.pdf http://irep.iium.edu.my/71660/15/71660_The%20evaluation%20on%20artificial%20neural%20networks%20%28ANN%29%20and%20multiple%20linear%20regressions%20%28MLR%29%20models%20over%20particulate%20matter%20%28PM10%29%20variability%20during%20haze%20and%20non-haze%20episodes_WOS.pdf http://irep.iium.edu.my/71660/21/71660_The%20evaluation%20on%20artificial%20neural%20networks%20%28ANN%29.pdf http://irep.iium.edu.my/71660/ https://mjfas.utm.my/index.php/mjfas/article/view/1004/pdf
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The evaluation on artificial neural networks (ANN) and multiple linear regressions (MLR) models over particulate matter (PM10) variability during haze and non-haze episodes: A decade case study

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