更正：联合使用主成分分析/多元线性回归分析和人工神经网络来评估气象参数对选定的与PM2.5结合的元素波动的影响。
Correction: 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.
作者信息
Pongpiachan Siwatt, Wang Qiyuan, Apiratikul Ronbanchob, Tipmanee Danai, Li Li, Xing Li, Mao Xingli, Li Guohui, Han Yongming, Cao Junji, Surapipith Vanisa, Aekakkararungroj Aekkapol, Poshyachinda Saran
出版信息
PLoS One. 2024 Apr 30;19(4):e0302975. doi: 10.1371/journal.pone.0302975. eCollection 2024.
Abstract
[This corrects the article DOI: 10.1371/journal.pone.0287187.].
摘要
[本文更正了文章的数字对象标识符：10.1371/journal.pone.0287187。]
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本文引用的文献
1
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.
PLoS One. 2024 Mar 20;19(3):e0287187. doi: 10.1371/journal.pone.0287187. eCollection 2024.
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