基于加权支持向量机对烧结过程中FeO含量和转鼓指数的预测研究  

Prediction of FeO Content and Drum Index in Sinter Process Based on Weighted Support Vector Machine

作　　者：张乐文[1] 陈新兵[1] 侯东旭[1] 吴海滨[1] ZHANG Lewen;CHEN Xinbing;HOU Dongxu;WU Haibin(Physics and Material Science School of Anhui University, Hefei, Anhui 230601, China)

机构地区：[1]安徽大学物理与材料科学学院,安徽合肥230601

出　　处：《冶金动力》2017年第8期1-3,共3页Metallurgical Power

摘　　要：获取烧结过程参数及烧结机机尾断面图像信息,基于加权支持向量机,提出了一种用于预测FeO含量和转鼓指数的回归估计方法。经国内某大型钢铁厂实际检验,此方法预测结果的准确性高。Based on the weighted support vector machine and obtaining sinter processparameters and the information of tail section images,a regression estimation method for predictingFeO content and drum index is proposed.Practical application in a large domesticsteel plant has verified the high accuracy and high application value of the method.

关 键 词：机尾断面图像 烧结参数 多参量 加权支持向量机 

分 类 号：TF124.5[冶金工程—粉末冶金]