An Integrated Artificial Immune Systems Model Based On Ontology

被引：0
|
作者：
Li, Tao [1 ]
Liang, Yiwen [1 ]
Yang, Huan [1 ]
Chen, Jia [1 ]
机构：
[1] Wuhan Univ, Sch Comp Sci & Technol, Wuhan 430079, Hubei, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL 1, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/ICICTA.2008.458
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Modelling the immune system plays an important role in the understanding of the computational aspects of the immune system, because most of existing Artificial Immune System models are designed for a specific application problem and have their advantages and disadvantages. In this paper, an AIS model based on ontology is presented which can integrate several AIS models and algorithms. Secondly, this model has accurate semantic, shared knowledge and understood by computer. With the guidance of AIS Ontolgy, more and more effectual AIS models can be created and implement Evolution dynamicly.
引用
收藏
页码：819 / 822
页数：4
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