Air quality prediction model based on mRMR–RF feature selection and ISSA–LSTM

Severe air pollution poses a significant threat to public safety and human health. Predicting future air quality conditions is crucial for implementing pollution control measures and guiding residents' activity choices. However, traditional single-module machine learning models suffer from long...

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Detalles Bibliográficos
Autores principales: Wu, Huiyong, Yang, Tongtong, Li, Hongkun, Zhou, Ziwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406845/
https://www.ncbi.nlm.nih.gov/pubmed/37550459
http://dx.doi.org/10.1038/s41598-023-39838-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406845/
https://www.ncbi.nlm.nih.gov/pubmed/37550459
http://dx.doi.org/10.1038/s41598-023-39838-4

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