Forecasting the PM-10 using a deep neural network
The air pollutants related to PM-10 are increasingly adversely affecting people in upper Northern Thailand, especially during the annual dry season. Due to the highly nonlinear dynamics of PM-10 contributed by various factors, in this study a deep neural network (DNN) has been implemented as a too...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Prince of Songkla University
2021-06-01
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Series: | Songklanakarin Journal of Science and Technology (SJST) |
Subjects: | |
Online Access: | https://rdo.psu.ac.th/sjstweb/journal/43-3/11.pdf |