A gene immune detection algorithm with a strategy of DNA PRI

被引：0
|
作者：
Zhang, YJ [1 ]
Xue, Y [1 ]
Wu, SH [1 ]
机构：
[1] Yantai Univ, Sch Comp Sci & Technol, Shandong 264005, Peoples R China
来源：
PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2004年
关键词：
negative selection; positive selection; vaccine; gene; DNA;
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：
Biological immune principles provide perfect protecting schemes for computer immune system. Based on research on anomaly detection, a gene immune detection algorithm is presented. Innate immune mechanism and adaptive immune mechanism of the biological immune system are considered synthetically. Positive selection and vaccine mechanism are introduced. And a strategy of PRI in the detection is adopted by using gene detection. Shown in simulation experiments, the algorithm improves variety of antibodies. And it has rather high detecting efficiency.
引用
收藏
页码：2421 / 2426
页数：6
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