Estimation of PM2.5 Concentrations in China Using a Spatial Back Propagation Neural Network

Methods for estimating the spatial distribution of PM(2.5) concentrations have been developed but have not yet been able to effectively include spatial correlation. We report on the development of a spatial back-propagation neural network (S-BPNN) model designed specifically to make such correlation...

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Detalles Bibliográficos
Autores principales: Wang, Weilin, Zhao, Suli, Jiao, Limin, Taylor, Michael, Zhang, Boen, Xu, Gang, Hou, Haobo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6760143/
https://www.ncbi.nlm.nih.gov/pubmed/31551510
http://dx.doi.org/10.1038/s41598-019-50177-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6760143/
https://www.ncbi.nlm.nih.gov/pubmed/31551510
http://dx.doi.org/10.1038/s41598-019-50177-1

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