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基于案例推理的LF炉温度控制中属性及权值的研究 被引量:1

The Study of Temperature Control Attributes and Weight of LF Furnace Based on CBR
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摘要 由于精炼过程造渣阶段工况的不稳定和复杂性,导致了很多参数不能精确获得,对于这一阶段采用案例推理的方法来求解供电量,从而达到控制LF炉钢水温度的目的。案例推理中各个工况的权值确定影响着最终的结果,针对属性的选取和属性权值的问题进行了研究,并得到可行性结论。 Because of the instability and complexity of the refining process in the refining process, many parameters cannot be accurately obtained. For this stage, we use the case reasoning method to solve the power, so as to control the steel temperature of LF fumace. In case reasoning, the determination of the weight of each working condition affects the final result. In this paper, the selection and weight of attributes are studied.
作者 刘杰 LIU Jie(School of Physics and Information Engineering,Zhaotong University,Zhaotong 657000,China)
出处 《昭通学院学报》 2018年第5期49-52,共4页 Journal of Zhaotong University
关键词 案例推理 LF 温度控制 权值 CBR temperature LF Temperature control Weigh
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  • 1赵卫东,盛昭瀚.基于快速模拟退火的案例检索模型研究[J].管理工程学报,2001,15(1):77-79. 被引量:4
  • 2张俊杰,王顺晃.电弧炉炼钢过程终点自适应预报及专家操作指导系统[J].自动化学报,1993,19(4):463-467. 被引量:15
  • 3张英,苏宏业,褚健.基于模糊最小二乘支持向量机的软测量建模[J].控制与决策,2005,20(6):621-624. 被引量:27
  • 4YUAN Ping MAO Zhi-zhong WANG Fu-li.Endpoint Prediction of EAF Based on Multiple Support Vector Machines[J].Journal of Iron and Steel Research International,2007,14(2):20-24. 被引量:12
  • 5Iwamura K. New endpoint control system with auto-parameter tuning in BOF [C]//Steel-making Conference Proceedings. Nashville, 1995: 715 - 719.
  • 6Portinale L, Magro D, Torasso P. Multi-modal diagnosis combining case-based and medel-based reasoning: a formal and experimental analysis[J]. Artificial Intelligence, 2004,158 : 109 - 153.
  • 7Tsutsui H, Kumsaki A, Sato T. Nonlinear modeling technique using historical data for case TCBM: topological case based modelling [ J ]. Journal of the Society of Instrument and Control Engineers, 1997,33 (5) :947 - 954.
  • 8Lin C F, Wang S D. Fuzzy support vector machines [J]. IEEE Tra ns on Neural Networks, 2002,13(3) :466 - 471.
  • 9Huang H P, Liu Y H. Fuzzy support vector machines for pattern recognition and datamining[J]. Int J Fuzzy Systems, 2002,4(3) :3 - 12.
  • 10Tax D M J, Duin R P W. Data domain description by support vectors[C]//Proc of 8th European Symposium on Artificial Neural Networks. Brussels: Facto D, 1999 : 251 - 256.

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