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Research on PM(2.5) Integrated Prediction Model Based on Lasso-RF-GAM
PM(2.5) concentration is very difficult to predict, for it is the result of complex interactions among various factors. This paper combines the random forest-recursive feature elimination algorithm and lasso regression for joint feature selection, puts forward a PM(2.5) concentration prediction mode...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7351685/ http://dx.doi.org/10.1007/978-981-15-7205-0_8 |