Information Filtering Based on Immune Mechanism

摘要：

Abstract-Natural Immune System is a highly complicated, distributed, and auto-adaptive system. It has very strong ability of self-learning, memory and association, and then it can quickly eliminate the intruders and keep itself stability. Information filtering is to choose useful information with filtering strategies from information. So, the original information is going to be as antigen, and the filtering strategies and procedure be as antibody, based on the immune self-learning mechanism, we design a model of information filtering. Then, we illustrate and discuss the model performance by experimental evaluation results.

关键词： Immune System Information Filtering Self-learning

作者: Zhiguo Yu FengMing Liu

作者单位: Department of Information EngineeringShandong Labour Union Administrators College, Jinan, P.R.China School of Management and Economics Shandong Normal University Jinan, P.R. China Glorious Sun School

会议类型: 国际会议

会议名称: 2011 International Conference on Information System and Computational Intelligence(2011 IEEE信息系统与计算智能国际会议 ICISCI 2011)

会议地点: 哈尔滨

会议语种:英文

页码: 242-244

在线出版日期: 2011-01-18（万方平台首次上网日期，不代表论文的发表时间）