| 基于基因算法的信息免疫模型 |
| |
| 引用本文： | 马玉春,宋瀚涛.基于基因算法的信息免疫模型[J].北京理工大学学报,2004,24(12):1084-1087. |
| |
| 作者姓名： | 马玉春 宋瀚涛 |
| |
| 作者单位： | 北京理工大学,信息科学技术学院计算机科学工程系,北京,100081;北京理工大学,信息科学技术学院计算机科学工程系,北京,100081 |
| |
| 摘 要： | 研究Web信息过载的问题,提出一种新的基于基因算法的信息免疫模型(IIM).根据免疫细胞的特异性,利用IIM不同的染色体描述用户需求,并专注于对无关信息的处理,使用户免于该类信息的入侵,并引入了特征选择和信息熵,阈值的选择也是可变的.通过实验与Rocchio方法进行了对比,结果表明,IIM的查准率比Rocchio的高27.5%,查全率比Rocchio的高47.7%.
|
| 关 键 词： | 信息免疫 基因算法 特征选择 熵 阈值 |
| 文章编号： | 1001-0645(2004)12-1084-04 |
| 收稿时间： | 2004/2/25 0:00:00 |
| 修稿时间： | 2004年2月25日 |
Information Immune Model Based on Gene Algorithm |
| |
| MA Yu-chun and SONG Han-tao.Information Immune Model Based on Gene Algorithm[J].Journal of Beijing Institute of Technology(Natural Science Edition),2004,24(12):1084-1087. |
| |
| Authors: | MA Yu-chun and SONG Han-tao |
| |
| Affiliation: | Department of Computer Science and Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing100081, China;Department of Computer Science and Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing100081, China |
| |
| Abstract: | Deals with the problem of information overload on the Web, and proposes a new information immune model (IIM) based on gene algorithm. According to the specificity of immune cells, IIM applies different chromosomes to describe user interests, emphasizes on blocking irrelevant information with variable thresholds. In order to construct efficient chromosomes, feature selection and information entropy are adopted. Finally, a prototype of IIM was developed and tested. Precision of IIM is 27\^5% higher than Rocchio, and recall of IIM is 47\^7% higher than Rocchio. |
| |
| Keywords: | information immunity gene algorithm feature selection entropy threshold |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《北京理工大学学报》浏览原始摘要信息 |
|
点击此处可从《北京理工大学学报》下载全文 |
|
