计算机应用研究2017，Vol.34Issue(1)：151-155,5.DOI:10.3969/j.issn.1001-3695.2017.01.032
一种基于多智能体策略的人工免疫网络数据分类方法
Multi-agent based artificial immune network algorithm for data classification
摘要
Abstract
On the basis of the traditional artificial immune network,this paper integrated typical strategies of the multi-agent technology into the evolution of the immune network.It introduced the neighborhood clone selection into the algorithm,made the process of operation from local to the whole,which could simulate the natural evolution model of the immune network more comprehensive.In addition the neighborhood competition and neighborhood collaborative operators between the antibody were introduced into the evolution process of the immune network,which could improve the dynamic analysis capabiility of the net-work.Classification experiments used the UCI data mangrove multispectral TM images,experiment result shows that the algo-rithm has good classification efficiency for remote sensing image,UCI data also get a good result.Results show that the algo-rithm is an effective classification algorithm.关键词
人工免疫网络/多智能体技术/数据分类/遥感图像Key words
artificial immune network/multi-agent technology/data classification/remote sensing image分类
信息技术与安全科学引用本文复制引用
洪铭,柳培忠,骆炎民..一种基于多智能体策略的人工免疫网络数据分类方法[J].计算机应用研究,2017,34(1):151-155,5.基金项目
华侨大学研究生科研创新能力培育计划资助项目 （）
