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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical Society
2021
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| 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 |