工程科学学报Issue(4)：517-521,5.DOI:10.13374/j.issn2095-9389.2015.04.017
基于多模态和加权支持向量机的热轧轧制力智能预报
Intelligent prediction of rolling force in hot rolling based on a multi-model and weighted support vector machine
摘要
Abstract
In order to improve the set accuracy of rolling force for a finishing mill in the hot rolling process, high precision predic-tion of rolling force is very important. In this paper, an approximate value of rolling force is calculated through theoretical formulae. And then, a correction coefficient of rolling force is computed using big field data. Firstly, different product states are classfied by the clustering method. Secondly, the correction coefficient is computed based on a weighted least square support vector machine. Through a combination of these two results, the rolling force value with high precision is predicted. The average relative prediction error of roll-ing force is 3. 2%, which can meet the requirements of field production.关键词
热轧/轧制力/加权支持向量机/聚类/预测Key words
hot rolling/rolling force/weighted support vector machine/clustering/prediction分类
矿业与冶金引用本文复制引用
何飞,石露露,黎敏,徐金梧..基于多模态和加权支持向量机的热轧轧制力智能预报[J].工程科学学报,2015,(4):517-521,5.基金项目
国家自然科学基金资助项目(51204018) （51204018）
高等学校博士学科点专项科研基金资助项目(20110006110027) （20110006110027）
国家“十二五”科技支撑计划项目(2012BAF04B02,2015BAF30B01) （2012BAF04B02,2015BAF30B01）
北京高等学校青年英才计划资助项目(YETP0422) （YETP0422）
中央高校基本科研业务费资助项目(FRF-TP-14-124A2) （FRF-TP-14-124A2）
