Combined use of principal component analysis/multiple linear regression analysis and artificial neural network to assess the impact of meteorological parameters on fluctuation of selected PM2.5-bound elements

Combined use of principal component analysis/multiple linear regression analysis and artificial neural network to assess the impact of meteorological parameters on fluctuation of selected PM2.5-bound elements

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Bibliographic Details
Main Authors: Siwatt Pongpiachan, Qiyuan Wang, Ronbanchob Apiratikul, Danai Tipmanee, Li Li, Li Xing, Xingli Mao, Guohui Li, Yongming Han, Junji Cao, Vanisa Surapipith, Aekkapol Aekakkararungroj, Saran Poshyachinda
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2024-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10954151/?tool=EBI

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10954151/?tool=EBI

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