A Learning Automata Based Artificial Immune System for Data Classification

被引：0
|
作者：
Azandaryani, A. H. Momeni [1 ]
Meybodi, M. R. [1 ]
机构：
[1] Amirkabir Univ Technol, Dept Comp Engn & Informat Technol, Soft Comp Lab, Tehran, Iran
来源：
2009 14TH INTERNATIONAL COMPUTER CONFERENCE | 2009年
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper we propose an artificial immune system in which learning automata are used to adaptively determine the values of its parameters. Learning automata are used for altering the shape of receptor portion of antibodies to better complementarily match the confronted antigen. In order to show the effectiveness of the proposed artificial immune computer experiments have been conducted. The result of experimentations confirms the effectiveness of the proposed model.
引用
收藏
页码：529 / 534
页数：6
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