Dynamic Soft Sensor Model for Endpoint Carbon Content and Temperature in Bof Steelmaking Based on Adaptive Balanced Joint Distribution Alignment Domain Adaptation with Variational Autoencoder
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Publisher
Elsevier BV
Reference40 articles.
1. Endpoint prediction model for basic oxygen furnace steel-making based on membrane algorithm evolving extreme learning machine;Min Han;Applied Soft Computing,2014
2. Prediction of lime utilization ratio of dephosphorization in bof steelmaking based on online sequential extreme learning machine with forgetting mechanism;Runhao Zhang;International Journal of Minerals, Metallurgy and Materials,2024
3. Toward learning steelmaking-a review on machine learning for basic oxygen furnace process;Maryam Khaksar Ghalati;Materials Genome Engineering Advances,2023
4. Intelligent control method and application for bof steelmaking process;Tao Jun;IFAC Proceedings Volumes,2002
5. A review of end-point carbon prediction for bof steelmaking process;Zhou Wang;High Temperature Materials and Processes,2020
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