Affinity based lateral interaction artificial immune system

被引：4
|
作者：
Dai, HW [1 ]
Tang, Z
Yang, Y
Tamura, H
机构：
[1] Toyama Univ, Fac Engn, Toyama 9308555, Japan
[2] Tele Elect Supply Serv Co Ltd, Takaoka, Toyama 9391119, Japan
来源：
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | 2006年 / E89D卷 / 04期
关键词：
immune systems; affinity; artificial immune system; pattern recognition;
D O I：
10.1093/ietisy/e89-d.4.1515
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Immune system protects living body from various attacks by foreign invades. Based on the immune response principles, we propose an improved lateral interaction artificial immune system model in this paper. Considering that the different epitopes on the surface of antigen can be recognized by a set of different paratopes expressed on the surface of immune cells, we build a neighborhood set that consists of immune cells with different affinities to a certain input antigen. We update all the weights of the immune cells located in neighborhood set according to their affinities. Simulations on noisy pattern recognition illustrate that the proposed artificial immune system model has stronger noise tolerance ability and is more effective at recognizing noisy patterns than that of our previous models.
引用
收藏
页码：1515 / 1524
页数：10
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