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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http://irep.iium.edu.my/71660/http://irep.iium.edu.my/71660/
http://irep.iium.edu.my/71660/
http://irep.iium.edu.my/71660/1/Mohd%20et%20al.%20-%202019%20-%20The%20evaluation%20on%20artificial%20neural%20networks%20%28ANN%29%20and%20multiple%20linear%20regressions%20%28MLR%29%20models%20over%20particulate%20ma.pdf
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