Unorganized machines and linear multivariate regression model applied to atmospheric pollutant forecasting
Air pollution is a relevant issue studied worldwide, and its prediction is important for social and economic management. Linear multivariate regression models (LMR) and artificial neural networks (ANN) are widely applied to forecasting concentrations of pollutants. However, unorganized machines are...
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| Pubblicato in: | Acta Scientiarum. Technology |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Universidade Estadual de Maringá
2020
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| Soggetti: | |
| Accesso online: | https://www.redalyc.org/articulo.oa?id=303265671057 https://www.redalyc.org/journal/3032/303265671057/ https://www.redalyc.org/journal/3032/303265671057/html/ https://www.redalyc.org/journal/3032/303265671057/303265671057.epub https://www.redalyc.org/journal/3032/303265671057/movil https://doi.org/10.4025/actascitechnol.v42i1.48203 |
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