Adaptive Immune Response Network Model

被引：0

作者：

Liu, Tao ^{[1
,2
]}

Zhang, Li ^{[2
]}

Shi, Binbin ^{[2
]}

机构：

[1] Modern Informat Technol Applicat Enterprise, JiangSu Prov Support Software Engn R&D Ctr, Suzhou 215104, Jiangsu, Peoples R China

[2] Suzhou Vocat Univ, Elect & Informat Engn Dept, Suzhou 215104, Jiangsu, Peoples R China

来源：

EMERGING INTELLIGENT COMPUTING TECHNOLOGY AND APPLICATIONS: WITH ASPECTS OF ARTIFICIAL INTELLIGENCE | 2009年 / 5755卷

关键词：

self-adaptation; immune response; network; model; SYSTEM;

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：

Artificial immune system (AIS) and its applications have become a search hotspot in recent years. According to the theory of immune response and immune network, the Adaptive Immune Response Network (AIRN) is presented in this paper. In AIRN the expression and procedure are given. The AIRN is applied to the clustering analysis, and this cluster method call receive data modes more quickly. The testing results show that the AIRN has better performance in data partition and pattern recognition than the clustering algorithm based on CA and the others.

引用

页码：890 / +

页数：3

共 16 条

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