A Fast Incremental SVM algorithm for discovery of CCPs on HACCP Implementation

摘要：

SVM has already shown its successful application on the CCP discovery for HACCP implementation. However, the classic non-incremental SVM method is not an efficient algorithm due to the thoroughly re-study for those samples are gradually added. In this paper, we propose a new incremental SVM algorithm d-ISVM which makes use of the heuristic that training should be firstly applied on cases which have greater possibilities to be SVs, so the training set can be reduced. The experiments show that the training speed is visibility improved without losing the precision of the classification.

关键词： HACCP (Hazard Analysis and Critical Control Point) CCP (critical control points) SVM (Support Vector Machine) Incremental

作者: Zhao Chunjiang Wang Kaiyi Yu Gang Xu Hongmin

作者单位: Beijing Institute of Technology,Beijing 100124,China Beijing Institute of Technology,Beijing 100124,China China National Engineering Research Center for China National Engineering Research Center for Information Technology in Agriculture,Beijing 100097, Beijing Institute of Petrochemical Technology,Beijing 102617,China

会议类型: 国际会议

会议名称: 第三届亚洲精细农业会议暨第五届智能化农业信息技术国际会议

会议地点: 北京

会议语种:英文

页码: 1-5

在线出版日期: 2009-10-14（万方平台首次上网日期，不代表论文的发表时间）