| 检测器自适应生成算法研究 |
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| 引用本文： | 罗文坚,曹先彬,王煦法.检测器自适应生成算法研究[J].自动化学报,2005,31(6):907-916. |
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| 作者姓名： | 罗文坚 曹先彬 王煦法 |
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| 作者单位： | 1.中国科学技术大学计算机科学与技术系 合肥 230026 |
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| 基金项目： | 安徽省教育厅自然科学基金重点项目(2004kj360zd)和中国博士后科学基金(2003034433)资助 |
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| 摘 要： | 如何有效生成检测器是用于异常检测的非选择算法的核心问题,也是非选择算法能否实际应用的关键问题.本文提出了一种有效的检测器自适应生成算法,能够依据实际情况不断调整当前检测器集合,在使得仅用较小的检测器集就能够快速检测到大规模非我空间中的异常变化的同时,也保证了算法的普适性,对各种异常检测问题具有一定的适用性.文中对算法的理论基础进行了分析,给出了算法的实现范例和实验结果.实验结果表明了算法的有效性.
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| 关 键 词： | 人工免疫系统 非选择 检测器 亲和度变异 |
| 收稿时间： | 2003-11-06 |
| 修稿时间： | 2004-11-12 |
Research on Adaptively Generating Detector Algorithm |
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| LUO Wen-Jian,CAO Xian-Bin,WANG Xu-Fa.Research on Adaptively Generating Detector Algorithm[J].Acta Automatica Sinica,2005,31(6):907-916. |
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| Authors: | LUO Wen-Jian CAO Xian-Bin WANG Xu-Fa |
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| Affiliation: | 1.Department of Computer Science and Technology,University of Science and Technology of China, Hefei 230027 |
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| Abstract: | How to effectively generate detectors is one of the important problems of negative selection algorithm and its practicability.In this paper,a new algorithm which adaptively generates detectors is proposed.This algorithm can regulate current detector set according to actual circumstances,and quickly detect abnormal changes in a very large non-self space by using a small detector set.This algorithm has a good generality to some degree in a number of anomaly detection applications.Its theoretical foundation is analyzed.An experimental example and results are given to prove that this algorithm is effective. |
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| Keywords: | Artificial immune system negative selection detector affinity mutation |
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