Using an evolutionary agent-based system for classification tasks

被引：0
|
作者：
Oliveira, Diogo F. [1 ]
Canuto, Anne [1 ]
de Souto, Marcilio C. P. [1 ]
机构：
[1] Univ Fed Rio Grande do Norte, Informat & Appl Math Dept, BR-59072970 Natal, RN, Brazil
来源：
PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS | 2007年
关键词：
D O I：
10.1109/ISDA.2007.98
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The ClassAge system is a multi-agent system for classification tasks. This system was proposed as an attempt to include the idea of intelligent agents in the structure of multi-classifier systems (MCSs). Also, it is aimed to overcome some drawbacks of MCSs and, as a consequence, to improve the performance of such systems. In this paper, an extension Of ClassAge is presented. Basically, an optimization technique is used to optimize the functioning of ClassAge. Also, each ClassAge agent is composed of a group of classifiers, instead of one classifier that was used in the original version.
引用
收藏
页码：27 / 32
页数：6
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