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PM2.5 Concentration Prediction Model: A CNN–RF Ensemble Framework
Although many machine learning methods have been widely used to predict PM2.5 concentrations, these single or hybrid methods still have some shortcomings. This study integrated the advantages of convolutional neural network (CNN) feature extraction and the regression ability of random forest (RF) to...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002213/ https://www.ncbi.nlm.nih.gov/pubmed/36901088 http://dx.doi.org/10.3390/ijerph20054077 |