An investigation of immune detection algorithm with vaccine operator and fuzzy match

被引：0
|
作者：
Zhang, YJ [1 ]
Leng, HW [1 ]
机构：
[1] Yantai Univ, Inst Comp Sci & Technol, Shandong 264005, Peoples R China
来源：
PROCEEDINGS OF 2005 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-9 | 2005年
关键词：
anomaly detection; vaccine; fuzzy match; immune detection;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Based on research for anomaly detection in the biological immune principles, a change detection algorithm is provided. It synchronizes the idea of negative selection in biology, is applied for the method of scheme match and joins vaccines operator to help detection in this algorithm. And a niching strategy is adopted. This paper discussed the problem of fuzzy match and vaccine operator by comparing the two immune detection algorithms. Shown by experiments, the algorithm improves the problem of hole and keeps variety of antibodies. And its detecting efficiency is increased obviously.
引用
收藏
页码：3943 / 3948
页数：6
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