An Ensemble Deep Belief Network Model Based on Random Subspace for NO(x) Concentration Prediction

[Image: see text] An effective NO(x) prediction model is the basis for reducing pollutant emissions. In this paper, a real-time NO(x) prediction model based on an ensemble deep belief network (DBN) is proposed. Variable importance projection analysis is adopted to screen variables, the time delay of...

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Detalles Bibliográficos
Autores principales: Wang, Yingnan, Yang, Guotian, Xie, Ruibiao, Liu, Han, Liu, Kai, Li, Xinli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7992177/
https://www.ncbi.nlm.nih.gov/pubmed/33778276
http://dx.doi.org/10.1021/acsomega.0c06317

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7992177/
https://www.ncbi.nlm.nih.gov/pubmed/33778276
http://dx.doi.org/10.1021/acsomega.0c06317

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