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一种人工免疫应答模型的研究及应用
引用本文:位耀光,郑德玲,周颖,王英,付冬梅.一种人工免疫应答模型的研究及应用[J].北京科技大学学报,2004,26(3):322-325.
作者姓名:位耀光  郑德玲  周颖  王英  付冬梅
作者单位:北京科技大学信息工程学院,北京,100083
基金项目:高等学校博士学科点专项科研项目
摘    要:提出一种基于生物免疫应答机理的人工免疫应答模型.它包括抗原匹配、克隆选择、变异、亲和力成熟等四个过程,通过克隆、变异过程实现抗体的多样性使所建立的系统具有较好的自适应能力,利用亲和力成熟过程完成知识的学习和积累.该模型具有运行参数少,稳定性好的特点,在提高数据压缩率和识别率方面具有较好的效果.

关 键 词:人工免疫系统  免疫应答  克隆  变异  数据分析  免疫应答机理  模型  研究  应用  Model  Immune  Response  Application  效果  识别率  压缩率  数据  稳定性  运行参数  积累  知识的学习  利用  适应能力  系统  抗体  过程实现
修稿时间:2003年7月2日

Research and Application of Immune Response Model
WEI Yaoguang,ZHENG Deling,ZHOU Ying,WANG Ying,FU Dongmei Information Engineering School,University of Science and Technology Beijing,Beijing ,China.Research and Application of Immune Response Model[J].Journal of University of Science and Technology Beijing,2004,26(3):322-325.
Authors:WEI Yaoguang  ZHENG Deling  ZHOU Ying  WANG Ying  FU Dongmei Information Engineering School  University of Science and Technology Beijing  Beijing  China
Institution:WEI Yaoguang,ZHENG Deling,ZHOU Ying,WANG Ying,FU Dongmei Information Engineering School,University of Science and Technology Beijing,Beijing 100083,China
Abstract:An artificial immune response model based on biological immune response mechanism was pro- posed, Which is made up of four procedures: antigen matching,clone selection, mutation and affinity maturation. The diversity of antibodies, achieved by clone and mutation process, can make the built system possess self-adap- tive capability Knowledge acquisition results from affinity maturation. The model need few operating parameters and is easy to stable. When applied to data analysis the model has fascinating ability to enhance data compression ratio and data recognition ratio.
Keywords:artificial immune system  immune response  clone  mutation  data analysis
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