The use of random forests in modelling short-term air pollution effects based on traffic and meteorological conditions: A case study in Wrocław.
Random forests, an advanced data mining method, are used here to model the regression relationships between concentrations of the pollutants NO 2 , NO x and PM 2.5 , and nine variables describing meteorological conditions, temporal conditions and traffic flow. The study was based on hourly values of...
| Publicado en: | Journal of Environmental Management Vol. 217; pp. 164 - 175 |
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| Formato: | Artículo |
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Academic Press Inc.
Jul2018
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| Acceso en línea: | Ver este registro en EBSCOhost |