The Study of Fractional Distance Based Artificial Immune System

摘要：

Traditional negative selection algorithms need to calculate the distances between detectors and sample data based on Minkowski distnaces.As the distance converage in high dimensional,so the data discrimination will become difficult.In this article,we analyzed the realtionship of data dimension and data relative constrast and employed fractional distance calculation method to improve the accuracy of data discrimination.

关键词： artificial immune fractional distance immue system detector

作者: Wang Shubin Yang Tao Wang Kunpeng

作者单位: Experiment Center China West Normal University Nanchong,China China West Normal University Library China West Normal University Nanchong,China

会议类型: 国际会议

会议名称: 2010 4th International Conference on Intelligent Information Techonlogy Application(第四届智能信息技术应用国际学术研讨会 IITA 2010)

会议地点: 秦皇岛

会议语种:英文

页码: 279-282

在线出版日期: 2010-11-05（万方平台首次上网日期，不代表论文的发表时间）