Prediction Model of Hot Metal Silicon Content Based on Improved GA-BPNN

The inconsistency of the detection period of blast furnace data and the large time delay of key parameters make the prediction of the hot metal silicon content face huge challenges. Aiming at the problem that the hot metal silicon content is not consistent with the detection period of time series of...

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Detalles Bibliográficos
Autores principales: Cui, Zeqian, Han, Yang, Lu, Chaomeng, Wu, Yafeng, Chu, Mansheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8387191/
https://www.ncbi.nlm.nih.gov/pubmed/34456990
http://dx.doi.org/10.1155/2021/1767308

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8387191/
https://www.ncbi.nlm.nih.gov/pubmed/34456990
http://dx.doi.org/10.1155/2021/1767308

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