计算机工程 ›› 2010, Vol. 36 ›› Issue (8): 173-176.doi: 10.3969/j.issn.1000-3428.2010.08.061

• 人工智能及识别技术 • 上一篇    下一篇

树突状细胞算法原理及其应用

陈岳兵,冯 超,张 权,唐朝京   

  1. (国防科学技术大学电子科学与工程学院,长沙 410073)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2010-04-20 发布日期:2010-04-20

Principles and Application of Dendritic Cell Algorithm

CHEN Yue-bing, FENG Chao, ZHANG Quan, TANG Chao-jing   

  1. (School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073)
  • Received:1900-01-01 Revised:1900-01-01 Online:2010-04-20 Published:2010-04-20

摘要: 描述树突状细胞的生物学机理,给出树突状细胞算法(DCA)的设计、实现及改进过程。介绍DCA在计算机网络、无线传感器网络、实时嵌入式系统和机器人学等方面的应用情况,对算法性能进行评价。基于标准数据集,将DCA与其他方法进行比较,分析DCA存在的问题,指出其下一步的研究方向。

关键词: 危险理论, 固有免疫系统, 人工免疫系统, 树突状细胞算法, 异常检测

Abstract: This paper describes biological mechanisms of Dendritic Cell(DC), presents the design, implementation and improvement of Dendritic Cell Algorithm(DCA), introduces applications of DCA in computer network, wireless sensor network, real-time embedded system and robotics, assesses the performance of DCA, and compares it with other methods based on standard dataset. The problems of DCA are analyzed, and directions of further research are pointed out.

Key words: danger theory, innate immune system, Artificial Immune System(AIS), Dendritic Cell Algorithm(DCA), anomaly detection

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