End-point prediction of basic oxygen furnace (BOF) steelmaking based on improved twin support vector regression
In this paper, a novel prediction method for low carbon steel is proposed based on an improved twin support vector regression algorithm. 300 qualified samples are collected by the sublance measurements from the real plant. The simulation results show that the prediction models can achieve a hit rate...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Croatian Metallurgical Society
2019-01-01
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| Series: | Metalurgija |
| Subjects: | |
| Online Access: | http://hrcak.srce.hr/file/303464 |