Strip thickness prediction method based on improved border collie optimizing LSTM

BACKGROUND: The thickness accuracy of strip is an important indicator to measure the quality of strip, and the control of the thickness accuracy of strip is the key for the high-quality strip products in the rolling industry. METHODS: A thickness prediction method of strip based on Long Short-Term M...

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Detalles Bibliográficos
Autores principales: Sun, Lijie, Zeng, Lin, Zhou, Hongjuan, Zhang, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9680871/
https://www.ncbi.nlm.nih.gov/pubmed/36426253
http://dx.doi.org/10.7717/peerj-cs.1114

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9680871/
https://www.ncbi.nlm.nih.gov/pubmed/36426253
http://dx.doi.org/10.7717/peerj-cs.1114

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