New Hybrid Model Predicting Solution to Final Sulfur Content

摘要：

desulfurization of molten steel is a primary task in ferrous metallurgy. So the prediction of final sulfur content is an important step. According to the problem that some key parameters in prediction process are hardly to be obtained, this paper proposed a hybrid method. In this method, first, use the method which integrates AdaBoost and LS-SVM to obtain the key parameters. Then put them into the mechanism model and get the values of final sulfur content. Thus, the problem of parameters can be solved by it. At the same time, it can overcome the disadvantage that intelligent method depends on data lack of technical guidance. From the simulation results, this method can meet the production requirement; the hit frequency had reached 80％.

关键词： AdaBoost LS-SVM sulfur content hybrid method

作者: NIAN Hai-wei MAO Zhi-zhong

作者单位: School of Information Science & EngineeringNortheast UniversityShenyang, China School of Information Science & Engineering Northeast University Shenyang, China

会议类型: 国际会议

会议名称: 2010 3rd International Conference on Advanced Computer Theory and Engineering(2010年第三届先进计算机理论与工程国际会议 ICACTE 2010)

会议地点: 成都

会议语种:英文

页码: 1-4

在线出版日期: 2010-08-20（万方平台首次上网日期，不代表论文的发表时间）