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Analysis and prediction of air quality in Nanjing from autumn 2018 to summer 2019 using PCR–SVR–ARMA combined model

In order to correct the monitoring data of the miniature air quality detector, an air quality prediction model fusing Principal Component Regression (PCR), Support Vector Regression (SVR) machine, and Autoregressive Moving Average (ARMA) model was proposed to improve the prediction accuracy of the s...

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Detalles Bibliográficos
Autores principales: Liu, Bing, Jin, Yueqiang, Li, Chaoyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7801597/
https://www.ncbi.nlm.nih.gov/pubmed/33431941
http://dx.doi.org/10.1038/s41598-020-79462-0

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