首页 | 本学科首页   官方微博 | 高级检索  
     

机器人学中应用的人工免疫原理、模型与展望
引用本文:段清娟,王润孝. 机器人学中应用的人工免疫原理、模型与展望[J]. 机器人, 2005, 27(5): 475-480
作者姓名:段清娟  王润孝
作者单位:西北工业大学机电学院,陕西西安710072
摘    要:给出人工免疫与机器人学的四个结合模型:负选择、克隆选择、进化免疫、免疫网络.介绍其生物机理,归纳和评述了主要算法及在机器人中的应用成果. 与其它进化算法做了比较,并展望了进一步的研究方向.

关 键 词:生物免疫系统  人工免疫系统  机器人
文章编号:1002-0446(2005)05-0475-06
收稿时间:2004-11-19
修稿时间:2004-11-19

Artificial Immunity Principle, Model Used in Robotics and Their Prospect
Duan QingJuan;Wang RunXiao. Artificial Immunity Principle, Model Used in Robotics and Their Prospect[J]. Robot, 2005, 27(5): 475-480
Authors:Duan QingJuan  Wang RunXiao
Abstract:Artificial immunity is a method to solve problems inspired by the immune system of living beings, and robotics is one of its main application areas. This paper presents four main models of artificial immunity, i.e. , negative selection, clonal selection, evolutionary immunity, and immune network, and summarises its biological mechanism, main algorithm and application to robotics. These algorithms are compared with other evolution algorithms, and the prospect of artificial immune system used in robotics is given.
Keywords:biological immune system   artificial immune system   robot
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《机器人》浏览原始摘要信息
点击此处可从《机器人》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号