计算技术与自动化2012，Vol.31Issue(3)：100-103,4.
基于驱动错误准则的SVM增量学习研究
Research of Incremental Learning Algorithm Based on Drive Error Criterion
摘要
Abstract
Incremental learning is widely used in artificial intelligence, pattern recognition and other fields. It is an effective method to solve the problem that the efficiency of the system declines in the process of studying training samples which is of a small number in the beginning. For the disadvantage of the classical support vector machine getting slower when the number of training samples gets larger, this thesis proposes an incremental learning algorithm based on Drive error criterion. The experimental results show that this algorithm not only guarantees the precision and good generalization ability of the learning machine, but also faster than the classic SVM algorithm. Therefore, it can be used in incremental learning.关键词
机器学习/驱动错误准则/SVM/增量学习Key words
machine learning/ drive error criterion/ SVM/ incremental learning分类
信息技术与安全科学引用本文复制引用
文波,单甘霖,段修生..基于驱动错误准则的SVM增量学习研究[J].计算技术与自动化,2012,31(3):100-103,4.基金项目
国防预研基金(9140A27020211JB3402) （9140A27020211JB3402）
