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| 自适应谐振理论网络信息过滤 | |
| 引用本文： | 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):37-41,6. |
| 作者姓名： | 梁潘 冯朝胜 张天伍 |
| 作者单位： | 1. 电子科技大学通信与信息工程学院,四川成都610054;阿坝师范高等专科学校电子信息工程系,四川汶川623002 2. 四川师范大学计算机学院,四川成都610066; 3. 河南工程学院计算机科学与工程系,河南新郑,451191 |
| 基金项目： | 国家自然科学基金，四川省科技厅应用基础基金 |
| 摘 要： | 对遗传算法和ART1分类器在信息过滤中的应用进行了研究与探讨,提出了一种全新算法。利用用户的积极和负面反馈过滤信息,使用ART1网络分类器生成用户的动态配置,并通过遗传算法产生理想的查询。试验结果表明:根据该算法提取的搜索结果,提高了信息过滤的准确率。 |
| 关 键 词： | 信息过滤 ARTl分类器 用户动态配置 遗传算法 |
Information Filtering by Daptive Resonance Theory network |
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| LIANG Pan,FENG Chao-Sheng,ZHANG Tian-Wu.Information Filtering by Daptive Resonance Theory network[J].Journal of Henan University of Science & Technology:Natural Science,2012,33(4):37-41,6. | |
| Authors: | LIANG Pan FENG Chao-Sheng ZHANG Tian-Wu |
| Institution: | 1.School of Telecommunication & Information Engineering,University of Electronic Science & Technology,Chengdu 610054,China;2.Department of Electronic Information,ABA Teachers College,Wenchuan 623002,China;3.School of Computer Science,Sichuan Normal University,Chengdu 610066,China;4.Department of Computer Science & Engineering,Henan Institute of Engineering,Xinzheng 451191,China) |
| Abstract: | Based on genetic algorithm and ARTl 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 ARTl 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. |
| Keywords: | Information filtering ARTl classifier Dynamic user profile Genetic algorithm |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |