Cargando…
An air quality index prediction model based on CNN-ILSTM
Air quality index (AQI) is an essential measure of air pollution evaluation, which describes the air pollution degree and its impact on health, so the accurate prediction of AQI is significant. This paper presents an AQI prediction model based on Convolution Neural Networks (CNN) and Improved Long S...
Autores principales: | Wang, Jingyang, Li, Xiaolei, Jin, Lukai, Li, Jiazheng, Sun, Qiuhong, Wang, Haiyao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9120089/ https://www.ncbi.nlm.nih.gov/pubmed/35589914 http://dx.doi.org/10.1038/s41598-022-12355-6 |
Ejemplares similares
-
Computational and Mathematical Methods in Medicine Prediction of COVID-19 in BRICS Countries: An Integrated Deep Learning Model of CEEMDAN-R-ILSTM-Elman
por: Zhao, Qi, et al.
Publicado: (2022) -
Air-quality prediction based on the ARIMA-CNN-LSTM combination model optimized by dung beetle optimizer
por: Duan, Jiahui, et al.
Publicado: (2023) -
Prediction of air quality index based on the SSA-BiLSTM-LightGBM model
por: Zhang, Xiaowen, et al.
Publicado: (2023) -
CNN-Siam: multimodal siamese CNN-based deep learning approach for drug‒drug interaction prediction
por: Yang, Zihao, et al.
Publicado: (2023) -
pcPromoter-CNN: A CNN-Based Prediction and Classification of Promoters
por: Shujaat, Muhammad, et al.
Publicado: (2020)