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个人信息Personal Information
教授
博士生导师
硕士生导师
性别:女
毕业院校:日本九州大学
学位:博士
所在单位:控制科学与工程学院
办公地点:创新园大厦B601
联系方式:minhan@dlut.edu.cn
电子邮箱:minhan@dlut.edu.cn
Prediction of Oxygen Decarburization Efficiency Based on Mutual Information Case-Based Reasoning
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论文类型:会议论文
发表时间:2011-05-29
收录刊物:EI、CPCI-S、Scopus
卷号:6677
期号:PART 3
页面范围:313-322
关键字:basic oxygen furnace; case-based reasoning; mutual information; oxygen decarburization efficiency; blowing oxygen
摘要:Oxygen decarburization efficiency prediction model based on mutual information case-based reasoning is proposed and the blowing oxygen of static and dynamic phases is calculated according to the forecasting results. First, a new prediction method of blowing oxygen is proposed which attributes the oxygen decarburization efficiency as solution properties of case-based reasoning. Then the mutual information is introduced into the process of determining weights of attributes, which solve the problem that the lack of information is ignored between the problem properties and the solution property in the traditional case retrieval method. The proposed model will be used in a 150 tons converter for the actual production data. The results show that the model has high prediction accuracy. On this basis the calculation accuracy of blowing oxygen in the two phases is ensured and the requirements of actual production are met.