Negative selection based method for multi-class problem classification

被引：0
|
作者：
Markowska-Kaczmar, Urszula [1 ]
Kordas, Bartosz [1 ]
机构：
[1] Wroclaw Univ Technol, Inst Appl Informat, PL-50370 Wroclaw, Poland
来源：
ISDA 2006: SIXTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, VOL 2 | 2006年
关键词：
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：
Methods inspired by immune systems have recently shown their efficiency among other machine learning algorithms. This paper presents a new algorithm from the group of Artificial Immune Systems (AIS) basing on a natural phenomenon taking place in human organism. The purpose of this work is to introduce to the negative selection approach for multi-class problems classification and investigate its efficiency.
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收藏
页码：1165 / +
页数：2
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