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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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| Publicat a: | Sci Rep |
|---|---|
| Autors principals: | , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Nature Publishing Group UK
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6760143/ https://ncbi.nlm.nih.gov/pubmed/31551510 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-50177-1 |
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