Soft Sensing of Silicon Content via Bagging Local Semi-Supervised Models

The silicon content in industrial blast furnaces is difficult to measure directly online. Traditional soft sensors do not efficiently utilize useful information hidden in process variables. In this work, bagging local semi-supervised models (BLSM) for online silicon content prediction are proposed....

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Detalles Bibliográficos
Autores principales: He, Xing, Ji, Jun, Liu, Kaixin, Gao, Zengliang, Liu, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6749592/
https://www.ncbi.nlm.nih.gov/pubmed/31484466
http://dx.doi.org/10.3390/s19173814

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6749592/
https://www.ncbi.nlm.nih.gov/pubmed/31484466
http://dx.doi.org/10.3390/s19173814

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