[1]王辉,于立君,王科俊,等.一种可变模糊匹配阴性选择算法[J].智能系统学报,2011,6(02):178-184.
 WANG Hui,YU Lijun,WANG Kejun,et al.An adjustable fuzzy matching negative selection algorithm[J].CAAI Transactions on Intelligent Systems,2011,6(02):178-184.
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一种可变模糊匹配阴性选择算法(/HTML)
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《智能系统学报》[ISSN:1673-4785/CN:23-1538/TP]

卷:
第6卷
期数:
2011年02期
页码:
178-184
栏目:
学术论文—智能系统
出版日期:
2011-04-25

文章信息/Info

Title:
An adjustable fuzzy matching negative selection algorithm
文章编号:
1673-4785(2011)02-0178-07
作者:
王辉于立君王科俊张利军
哈尔滨工程大学 自动化学院,黑龙江 哈尔滨 150001
Author(s):
WANG Hui YU Lijun WANG Kejun ZHANG Lijun
College of Automation, Harbin Engineering University, Harbin 150001, China
关键词:
阴性选择连续相似度模糊匹配黑洞有效检测器集
Keywords:
negative selection continuous similarity fuzzy matching holes effective detector sets
分类号:
TP301
文献标志码:
A
摘要:
通过对人工免疫系统中阴性选择算法机理的分析,定义了连续相似度与背离度,提出了一种可变模糊匹配阴性选择免疫算法.算法通过调整匹配阈值的方法降低黑洞数量;利用模糊思想,实现了具有一定连续相似度的模糊匹配,模糊程度可控;为了消除检测器间的冗余,提高检测器集的检测效率,算法在模糊匹配的基础上,生成了有效检测器集.仿真实验表明,可变模糊匹配阴性选择算法生成的成熟检测器检测范围较大,空间覆盖率明显提高,黑洞数量大幅下降,算法具有较强的鲁棒性.
Abstract:
This paper analyzed the negative selection algorithm mechanism in an artificial immune system, defined continuous similarity and deviation, and put forward an adjustable fuzzy matching negative selection immune algorithm. The algorithm clearly reduced the number of holes through adjusting the matching threshold, and used a fuzzy idea to realize fuzzy matching with continuous controlled similarity. In order to eliminate the redundancy phenomenon between detector sets and increase the detecting efficiency, an effective detector set was created on the basis of fuzzy matching. The simulation results show that the mature detector generated by the adjustable fuzzy matching negative selection algorithm can detect data in a larger range and the space coverage ratio is noticeably increased. Also, the number of holes clearly declines, and the algorithm has better robustness. 

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2009-09-15
基金项目:国家自然科学基金资助项目(60704004);黑龙江省博士后基金资助项目(LBHZ09216);中央高校基本科研业务费专项基金资助项目(HEUCF00401).
通信作者:王辉.
E-mail:wangh@hrbeu.edu.cn.
作者简介:
王辉,女,1976生,副教授,主要研究方向为先进控制理论及应用、智能控制、人工免疫.连续五年获哈尔滨工程大学优秀主讲教师,2009年获哈尔滨工程大学自动化学院首届教学名师奖,被评为2010年度学生最喜爱的教师,发表学术论文40余篇,其中EI检索10余篇,编著教材4部.
王科俊,男,1962年生,教授、博士生导师、博士,哈尔滨工程大学自动化学院副院长,模式识别与智能系统学科带头人.主要研究方向为模糊混沌神经网络、自适应逆控制理论、可拓控制、网络智能控制、模式识别、多模态生物特征识别、联脱机指纹考试身份鉴别系统、微小型机器人系统等.完成科研项目20余项,目前在研项目10余项.曾获得部级科技进步二等奖2项、三等奖3项,省高校科学技术一等奖1项、二等奖1项.发表学术论文180余篇,出版学术专著3部、国防教材1部,主审教材2部.
于立君,男,1975年生,副教授,博士,主要研究方向为船舶姿态控制、先进控制理论及应用。荣获黑龙江省科技进步二等奖、校三育人先进个人、校先进工作者、校优秀主讲教师等多项荣誉。参加省部级科研项目5项、承担省博士后基金1项、中央高校自由探索计划项目2项。发表学术论文30余篇,其中被EI检索8篇,出版著作2部。
更新日期/Last Update: 2011-05-19