An improved particle swarm optimization for SVM training

Ying Li, Yan Tong, Bendu Bai, Yanning Zhang

科研成果: 书/报告/会议事项章节会议稿件同行评审

13 引用 (Scopus)

摘要

Since training a SVM requires solving a constrained quadratic programming problem which becomes difficult for very large dataseis, an improved particle swarm optimization algorithm is proposed as an alternative to current numeric SVM training methods. In the improved algorithm, the particles studies not only from itself and the best one but also from the mean value of some other particles. In addition, adaptive mutation was introduced to reduce the rate of premature convergence. The experimental results show that the improved algorithm is feasible and effective for SVM training.

源语言英语
主期刊名Proceedings - Third International Conference on Natural Computation, ICNC 2007
611-615
页数5
DOI
出版状态已出版 - 2007
活动3rd International Conference on Natural Computation, ICNC 2007 - Haikou, Hainan, 中国
期限: 24 8月 200727 8月 2007

出版系列

姓名Proceedings - Third International Conference on Natural Computation, ICNC 2007
2

会议

会议3rd International Conference on Natural Computation, ICNC 2007
国家/地区中国
Haikou, Hainan
时期24/08/0727/08/07

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