基于遗传算法的Web主题库成长技术研究  

Research the growth of web subject database based on genetic algorithm

作　　者：李艳生[1] 汪自云[2] 

机构地区：[1]湖北师范学院省级电工电子实验教学示范中心,湖北黄石435002 [2]湖北师范学院计算机科学与技术学院,湖北黄石435002

出　　处：《湖北师范学院学报（自然科学版）》2010年第4期38-42,共5页Journal of Hubei Normal University(Natural Science)

摘　　要：互联网信息量日益剧增,人们很难在海量的信息中找到需要的主题信息。提出基于遗传算法进行文本特征的提取,并把与主题相关的信息实时入库,用户可以直接从库中获得过滤后的主题信息。通过实验考查,证明该方案明显地提升了搜索的准确度与效率。It is difficult for people to find a piece of information required on the interact with the internet information sharply increasing. This paper adopted a text feature selection method based on Genetic Algorithm and stored the information related with the subject into database so as to get the subject information from the database by users. It is also proved that this method obviously improved accuracy and efficiency of search.

关 键 词：遗传算法 特征提取 库成长 

分 类 号：TP316[自动化与计算机技术—计算机软件与理论]