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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...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
मुख्य लेखकों: C. Gao, M. G. Shen
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: Croatian Metallurgical Society 2019-01-01
श्रृंखला:Metalurgija
विषय:
ऑनलाइन पहुंच:http://hrcak.srce.hr/file/303464
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