Information Filtering Based on Immune Mechanism

被引：0

作者：

Yu, Zhiguo ^{[1
]}

Liu, FengMing ^{[2
,3
]}

机构：

[1] Shandong Labour Union Adm Coll, Dept Informat Engn, Jinan 250100, Peoples R China

[2] Shandong Normal Univ, Sch Management Sci & Engn, Jinan 250014, Peoples R China

[3] Donghua Univ, Glorious Sun Sch Business & Management, Shanghai 201620, Peoples R China

来源：

ADVANCED MATERIALS AND ENGINEERING MATERIALS, PTS 1 AND 2 | 2012年 / 457-458卷

关键词：

Immune System; Information Filtering; Self-learning;

D O I：

10.4028/www.scientific.net/AMR.457-458.1428

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

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 perforrnance by experimental evaluation results.

引用

页码：1428 / +

页数：2

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