ANNA Optimized by GA and Its Application in E-mail Filter

摘要：

This paper presents a model of spam mail filter based on artificial neural network which is optimized by genetic algorithms. By using genetic algorithms, which is good at wide searching ability in solution space on optimizing connection weight matrix of artificial neural network , artificial neural network can get over the inh1erent limitation of local minimal and improve its learning speed and recognition ability. The application of the model in spam filter has been successfully proved by its implementing.

关键词： spam genetic algorithm artificial neural network algorithm local minimal

作者: YIN Zhixi YIN Siqing

作者单位: College of Electronics and Computer Science and Technology, North University of China, Taiyuan,030051,

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）