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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...

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Detalles Bibliográficos
Autores principales: Chen, Mei-Hsin, Chen, Yao-Chung, Chou, Tien-Yin, Ning, Fang-Shii
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
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