| 人工免疫系统超变异模式识别及应用 |
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| 引用本文： | 刘继忠,周晓军,熊勇.人工免疫系统超变异模式识别及应用[J].传感技术学报,2005,18(3):484-487. |
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| 作者姓名： | 刘继忠 周晓军 熊勇 |
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| 作者单位： | 1. 浙江大学机械与能源工程学院,杭州,3100272
2. 浙江大学智能信息工程研究所,杭州,310027 |
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| 摘 要： | 描述了人工免疫系统(Artificial Immune System,AIS)原理,在人工免疫系统算法的基础上,对免疫系统的超变异特性进行了算法设计,并针对四种简单信号模式对人工免疫系统普通模式识别算法和超变异模式识别算法进行了比较.结果表明:人工免疫系统普通模式识别算法和超变异算法皆可对四种信号模式进行识别,超变异算法可以快速得到最优抗体,且亲和力优于普通人工免疫系统模式识别算法,并给出了人工免疫系统超变异模式识别算法在碳纤维增强复合材料板疏松缺陷超声信号检测中的应用.
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| 关 键 词： | 人工免疫系统 模式识别 超变异 疏松缺陷 超声 |
| 文章编号： | 1005-9490（2005）03-0484-04 |
| 收稿时间： | 2004-11-18 |
| 修稿时间： | 2004年11月18日 |
AIS Hypermutation Algorithm Pattern Recognition and its Appl ication |
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| L IU J iz hon g,Z HOU X i aoj un,X ION G Yong.AIS Hypermutation Algorithm Pattern Recognition and its Appl ication[J].Journal of Transduction Technology,2005,18(3):484-487. |
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| Authors: | L IU J iz hon g Z HOU X i aoj un X ION G Yong |
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| Affiliation: | 1. Col lege of Mechanical and Energy Engineering of Zhej iang Universit y , Hangz hou 310027 , China;
2. I nsti tute of I ntel li gent I nf ormation Engineering of Zhej iang Universi t y , Hangz hou 310027 , China |
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| Abstract: | The artificial immune system(AIS) is depicted.Based on the hypermutation feature of human immune the artificial immune system hypermutation pattern recognition algorithm is designed.The pattern recognition results of an example with four simple signal patterns are compared with the AIS common algorithms and the AIS hypermutation algorithm.The results show the AIS hypermutation algorithm is much faster to reach the optimal antibody with better affinity than the common algorithms.An application in carbon fiber composite plate rarefaction defect detection is depicted and the result shows the hypermutation algorithm is practical in the ultrasonic defect detection. |
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| Keywords: | artificial immune system pattern recognition hypermutation rarefaction defect ultrasonic |
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