Pattern recognition by primary and secondary response of an Artificial Immune System

被引:0
|
作者
F. Castiglione
S. Motta
G. Nicosia
机构
[1] University of Cologne,Center for Applied Computer Science (ZPR/ZAIK)
[2] University of Rome “La Sapienza”,Department of Computer Science
[3] Department of Mathematics and Computer Science,undefined
来源
Theory in Biosciences | 2001年 / 120卷
关键词
Immune system; artificial immune system; pattern recognition; Kullback entropy; bit-string model; immune response; hypermutation;
D O I
暂无
中图分类号
学科分类号
摘要
In this paper we show how an Artificial Immune System can be used to study pattern recognition processes and learning. In particular we show the ability of the model to discover and maintain coverage of the diverse patterns through mechanism of evolution and mutation.
引用
收藏
页码:93 / 106
页数:13
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