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人工免疫记忆分类器多类多维问题研究 被引量：1

Research of the Artificial Immune Network Memory Classifier for Multi-Class and Multi-Dimensional Problems
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摘要 本文首先介绍人工免疫系统在分类问题中的应用,以及人工免疫记忆分类器在UCI数据集合上的研究结果,然后将人工免疫记忆分类器与人工免疫识别系统在多类多维问题上进行比较研究,以进一步验证人工免疫记忆分类器的性能。结果表明,人工免疫记忆分类器对于多类多维问题具有良好的性能,效率高于人工免疫识别系统。 In this paper,the application of the artificial immune system in classification is introduced and also the results of the artificial immune network memory classifier（AINMC）on UCI data sets.Then,the artificial immune memory classifier and the artificial immune recognition system（AIRS）are compared for the multi-class and multi-dimensional problems in order to test the performance of AINMC further.The results show that AINMC has good performance on such problems.Its has better efficiency than that of AIRS.
作者 莫宏伟 管凤旭 吕淑萍 徐立芳 王辉
机构地区 哈尔滨工程大学自动化学院
出处 《计算机工程与科学》 CSCD 2007年第2期100-103,共4页 Computer Engineering & Science
基金 国家自然科学基金资助项目(60305007) 黑龙江省自然科学基金资助项目(F0210) 黑龙江省归国留学人员基金资助项目(LC05C03) 哈尔滨工程大学校基础研究基金资助项目(HEUF04076)
关键词 人工免疫系统 人工免疫记忆分类器 人工免疫识别系统 artificial immune system,AINMC,AIRS
分类号 TP18 [自动化与计算机技术—控制理论与控制工程]
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参考文献7

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共引文献16

同被引文献9

  • 1陈博,方滨兴,云晓春.分布式蠕虫检测和遏制方法的研究[J].通信学报,2007,28(2):9-16. 被引量：12
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计算机工程与科学
2007年 第2期

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