关键词: 垃圾邮件过滤, 感知学习, 内容相似度

Abstract: The cognition learning model was proposed by Edelman et al.,according to his Theory of Neuronal Group Selection（TNGS） proposed by Edelman et al.presented a cognition learning model.In this paper,we consider the spam filtering problem by analogy to the learning process.In this model,a novel self-learning spam filtering method based on cognition learning is presented.The method uses an improved textual signature algorithm to calculate the similarity matrix of the email text.This matrix,together with the characteristics of email traffic,is regarded as the parameters of the spam detecting method.Finally,the simulation results are presented.

Key words: spam filtering, cognition learning, textual similarity