Machine learning approaches for outdoor air quality modelling: a systematic review
Current studies show that traditional deterministic models tend to struggle to capture the non-linear relationship between the concentration of air pollutants and their sources of emission and dispersion. To tackle such a limitation, the most promising approach is to use statistical models based on...
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| Formato: | review |
| Idioma: | eng |
| Publicado em: |
2019
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| Texto completo: | https://doi.org/10.3390/app8122570 |
| País: | Portugal |
| Oai: | oai:run.unl.pt:10362/58535 |