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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| Main Authors: |
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 |
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| 格式: | Article
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| 语言: | English
English
English |
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| 出版: |
Penerbit UTM Press
2019
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| 主题: | |
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| 在线阅读: | 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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