A Classification Algorithm of Feature Choosing based Immunity Evolution

摘要：

Data classification is one of important methods for data mining. The target is to give normal descriptions based on the known data classes, where one classification rule covers several data sets with certain similarity. According to immune principle of biology, this paper presented a classification algorithm of feature choosing, analyzed the choosing characteristics, provided a feature choosing project based on immunity evolution, proposed a calculation method for the concentration and affinity of antibodies, and verified the practicability through the simulation.

作者: Tao Liu Shuqin Cai Fengwen Cao Yajuan Liu

作者单位: Huazhong University of Science and Technology Wuhan, P. R. China 430074;Suzhou Vocational University Huazhong University of Science and Technology Wuhan, P. R. China 430074 Suzhou Vocational University Suzhou, P. R. China 215104 Heilongjiang Institute of technology Harbin, P. R. China 150050

会议类型: 国际会议

会议名称: 第三届国际脉冲动力系统及应用学术会议

会议地点: 青岛

会议语种:英文

在线出版日期: 2006-07-21（万方平台首次上网日期，不代表论文的发表时间）