Just-in-time updated DBN BOF steel-making soft sensor model based on dense connectivity of key features
Due to the high-dimensional nonlinear nature of the BOF steelmaking production process data, although the ability of deep learning to extract abstract information is more prominent, it faces the challenge of low correlation between the extracted features and labels, and the static model cannot be ap...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2024-12-01
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| Series: | High Temperature Materials and Processes |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/htmp-2024-0060 |
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