A Novel Online Sequential Extreme Learning Machine for Gas Utilization Ratio Prediction in Blast Furnaces

Gas utilization ratio (GUR) is an important indicator used to measure the operating status and energy consumption of blast furnaces (BFs). In this paper, we present a soft-sensor approach, i.e., a novel online sequential extreme learning machine (OS-ELM) named DU-OS-ELM, to establish a data-driven m...

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Detalles Bibliográficos
Autores principales: Li, Yanjiao, Zhang, Sen, Yin, Yixin, Xiao, Wendong, Zhang, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5579571/
https://www.ncbi.nlm.nih.gov/pubmed/28796187
http://dx.doi.org/10.3390/s17081847

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5579571/
https://www.ncbi.nlm.nih.gov/pubmed/28796187
http://dx.doi.org/10.3390/s17081847

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