Prediction of ground-level ozone by SOM-NARX hybrid neural network based on the correlation of predictors

Current approaches to ozone prediction using hybrid neural networks are numerous but not perfect. Decomposition algorithms ignore the correlation between predictors and ozone, and feature extraction methods rarely select appropriate predictors in terms of correlation, especially for VOCs. Therefore,...

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Detalles Bibliográficos
Autores principales: Xiong, Qinqing, Wang, Wenju, Wang, Mingya, Zhang, Chunhui, Zhang, Xuechun, Chen, Chun, Wang, Mingshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9732375/
https://www.ncbi.nlm.nih.gov/pubmed/36505938
http://dx.doi.org/10.1016/j.isci.2022.105658

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9732375/
https://www.ncbi.nlm.nih.gov/pubmed/36505938
http://dx.doi.org/10.1016/j.isci.2022.105658

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