河南科技大学学报（自然科学版）2012，Vol.33Issue(4)：37-41,5.
自适应谐振理论网络信息过滤
Information Filtering by Daptive Resonance Theory network
摘要
Abstract
Based on genetic algorithm and ART1 classifier used in information filtering,a new algorithm was put forward. Through the use of positive and negative feedback from the user,the information was filtered. By ART1 network classifier, the user dynamic configuration was generated. Through the genetic algorithm, the desired query was gotten. The experimental results show that according to the algorithm for the extraction of search results,the precision of information filtering is improved.关键词
信息过滤/ART1分类器/用户动态配置/遗传算法Key words
Information filtering/ART1 classifier/Dynamic user profile/Genetic algorithm分类
信息技术与安全科学引用本文复制引用
梁潘,冯朝胜,张天伍..自适应谐振理论网络信息过滤[J].河南科技大学学报（自然科学版）,2012,33(4):37-41,5.基金项目
国家自然科学基金项目(60970113) （60970113）
四川省科技厅应用基础基金项目(2010JY0125) （2010JY0125）
