文献类型：会议论文

英文题名：Research on the alkalinity of sintering process based on LS-SVM algorithms

作者：Wang, Rui[1]; Wang, Ai-Min[2]; Song, Qiang[3]

第一作者：王瑞

通讯作者：Wang, R.|[1107140071032]王瑞;

机构：[1] Mechanical and Electrical Engineering, Xinxiang University, Xinxiang, China; [2] Computer Science Department, Anyang Normal University, Anyang, China; [3] Mechanical Engineering Department, Anyang Institute of Technology, Anyang, China

第一机构：新乡学院机电工程学院

通讯机构：[1]Mechanical and Electrical Engineering, Xinxiang University, Xinxiang, China|[1107111]新乡学院机电工程学院;[11071]新乡学院;

会议论文集：Advances in Computer Science and Information Engineering

会议日期：May 19, 2012 - May 20, 2012

会议地点：Zhengzhou, China

语种：英文

外文关键词：Forecasting - pH - Predictive analytics

摘要：The measurement of R in sintering process is difficult to control, on the other hand, it is easily to be disturbed by almost process steps. A prediction model of R in sintering process based on LS-SVM is proposed to judge the trend of R. The application result shows that the prediction with this method can achieve higher robust, better utility and expensive value. It was concluded that the LS-SVM model is effective with the advantages of high precision, less requirement of samples and comparatively simple calculation. ? 2012 Springer-Verlag GmbH.