改进的人工免疫算法及在垃圾短信过滤系统中的应用  

Modified Artificial Immune Algorithm and its Application in Spam Message Filtering System

作　　者：张兢[1] 李雪梅[1] 徐伟[1] 李成勇[1] 

机构地区：[1]重庆理工大学电子信息与自动化学院,重庆400054

出　　处：《重庆理工大学学报（自然科学）》2011年第8期34-38,共5页Journal of Chongqing University of Technology：Natural Science

摘　　要：鉴于人工免疫原理在信息处理中体现的极大优势,提出了一种用于垃圾短信过滤的改进的人工免疫算法,给出了一种亲和力的新计算方式,分别对抗体细胞和抗体细胞基因的变异进行了双重控制,确保抗体库的稳定性和自适应性。实验证明:算法的鲁棒性、自学习性和自适应性均得到了提高,在垃圾短信过滤中取得了良好效果。Due to the artificial immune theory in information processing reflects a great advantage,a modified artificial immune algorithm is proposed for spam short message filtering.A new calculation formula of affinity is given.The mutation of antibody cells and antibody cell genes are respectively in control,to ensure the stability and adaptability of antibody library.Experimental results show that,the robustness,self-learning and adaptability of the algorithm have been improved.The algorithm has achieved good results in the spam filtering system.

关 键 词：人工免疫算法 亲和力 垃圾短信 过滤 

分 类 号：TN92[电子电信—通信与信息系统]