南京航空航天大学学报2013，Vol.45Issue(2)：232-238,7.
一种融合人工免疫系统与AP算法的分类器设计
Design of Classifier Based on Combination of Artificial Immune System and AP Algorithm
摘要
Abstract
To improve the classification performance of complex data classifier,a classification algorithm based on the combination of artificial immune system (AIS) and affinity propagation(AP) algorithm is proposed which combines the global search capability and adaptive recognition of AIS with the capability of automatically determining the optimal number of data classes of AP.The antibody memory set reflecting the characteristics of data set is obtained by adaptive immune algorithm.Then the optimal number of clusters of the antibody memory set is obtained using AP algorithm based on cluster validity index,and a classifier is constructed.Finally,the proposed algorithm is tested on artificial data set and UCI data set.Compared with artificial immune algorithm and AP algorithm,it has a great competitiveness on recognition rate and recognition capability.The algorithm also shows good competitiveness compared with some of the classic classification algorithms.关键词
人工免疫系统/近邻传播算法/K近邻算法/分类Key words
artificial immune system/affinity propagation algorithm/K-nearest neighbor algorithm/classification分类
信息技术与安全科学引用本文复制引用
储岳中,徐波,高有涛..一种融合人工免疫系统与AP算法的分类器设计[J].南京航空航天大学学报,2013,45(2):232-238,7.基金项目
国家自然科学基金(11078001)资助项目 （11078001）
国家高技术研究发展计划("八六三"计划)(2012AA121602)资助项目. （"八六三"计划）
