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Heavy metals in submicronic particulate matter (PM(1)) from a Chinese metropolitan city predicted by machine learning models
The aim of this study was to establish a method for predicting heavy metal concentrations in PM(1) (aerosol particles with an aerodynamic diameter ≤ 1.0 μm) based on back propagation artificial neural network (BP-ANN) and support vector machine (SVM) methods. The annual average PM(1) concentration w...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Ltd.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7340598/ https://www.ncbi.nlm.nih.gov/pubmed/32721685 http://dx.doi.org/10.1016/j.chemosphere.2020.127571 |