基于类神经网络的垃圾邮件过滤技术研究设计  

Study of Using Artificial Neural Network Approach to Filter Spam

作　　者：张云鹏[1] 周连兵[1] 

机构地区：[1]东营职业学院计算机系

出　　处：《科学技术与工程》2006年第23期4695-4699,共5页Science Technology and Engineering

摘　　要：由于目前尚无论文使用类神经网络针对中文内容的邮件进行垃圾邮件的辨识,因此希望通过实验了解,使用类神经网络对于垃圾邮件的辨识是否可行。关键词数目对于垃圾邮件的辨识是否会有影响;将邮件分类使用二分法以及实际使用测试资料中垃圾邮件的七个分类加上正常邮件共八类,此两种分类结果,对于使用类神经网络辨识垃圾邮件是否会有影响。Currently, due to there is no thesis by using NNC to proceed identification of spam in the light of Chinese mails＇ contents, it is expected that through concrete experiment to understand does it workable by using NNC with regard to identification of spam,collection of key words （terms） in pre - handling is also quite important; If mails are categorized by using dichotomy, as well as by actually using seven sorts of spam which are tested, and adding regular mails altogether, is there any influence between numbers of these two sorting results towards by using NNC to identify spam.

关 键 词：类神经网络 垃圾邮件 中文邮件 

分 类 号：TP309.2[自动化与计算机技术—计算机系统结构]