The End-Point Ingredient Prediction of Low Carbon Ferrochrome Smelt based on the Working Condition

摘要：

Construct the model of the end-point ingredient prediction of low carbon ferrochrome smelt based on the working condition of electrothermal silicon method using the method of multi-scale support vector machiness information fusion, where the best decomposition scale information is according to different smelt working conditions using Levenberg-Marquart algorithm to optimize the design, smelt working condition is judged by Bayesian classifier. Researches have proved that this method can improve the precision of prediction and make the prediction result more accurate, reasonable and practical.

关键词： Keyword: Low Carbon Ferrochrome end-point ingredient information fusion Bayesian

作者: Zhang niaona Liu kewei Zhang baodong

作者单位: Changchun University of Technology, Changchun 130012

会议类型: 国际会议

会议名称: 4th International Conference on Measuring Technology and Mechatronics Automation(第四届检测技术与机电自动化国际会议 ICMTMA 2012)

会议地点: 三亚

会议语种:英文

页码: 1246-1249

在线出版日期: 2012-01-06（万方平台首次上网日期，不代表论文的发表时间）