一种新型的自适应人工免疫算法

论文简略叙述了免疫系统的基本原理,并对两种典型的免疫算法aiNet和RLAIS进行了详细分析,进而提出了一种新型的自适应人工免疫网络算法用于离散数据的聚类分析。此算法能得到稳定和良好的聚类结果,并能达到用户要求的数据压缩比,另外需用户确定的控制参数很少。

A Novel Adaptive Artificial Immune Algorithm

This paper explores basic principle of the immune system and analyses two representative models that are aiNet and RLAIS.It proposes a novel adaptive immune network model with the main goals of clustering and filtering redundant data from problem described by a set of samples.As results of our model,the algorithm will be capable of gaining excellent and stable clustering results,and reach a compressing rate that the user demands to achieve.The im-portant thing is that the algorithm uses the minimal number of control parameters which will be determined by users.