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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...
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| Publicado no: | Chemosphere |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier Ltd.
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7340598/ https://ncbi.nlm.nih.gov/pubmed/32721685 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.chemosphere.2020.127571 |
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