Time series-based PM(2.5) concentration prediction in Jing-Jin-Ji area using machine learning algorithm models

Globally all countries encounter air pollution problems along their development path. As a significant indicator of air quality, PM(2.5) concentration has long been proven to be affecting the population’s death rate. Machine learning algorithms proven to outperform traditional statistical approaches...

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Detalles Bibliográficos
Autores principales: Ma, Xin, Chen, Tengfei, Ge, Rubing, Cui, Caocao, Xu, Fan, Lv, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9519508/
https://www.ncbi.nlm.nih.gov/pubmed/36185154
http://dx.doi.org/10.1016/j.heliyon.2022.e10691

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9519508/
https://www.ncbi.nlm.nih.gov/pubmed/36185154
http://dx.doi.org/10.1016/j.heliyon.2022.e10691

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