Study on GSOM Model based on Interval Grey Number

摘要：

Considered elements of input node and weight vector are interval grey numbers in Self-organizing Feature Map (SOM), normalized these interval grey numbers, defined the interval grey number Euclidean distance, and proposed Grey SOM (GSOM) model which can solve uncertain problems efficiently. In the end, we studied intelligent clustering of commercial bank off-site regulation empirically using this model. The result showed that: compared with traditional SOM model, GSOM is easy for programming, has a strengthened ability of anti-interference and a higher precision of classification.

关键词： Commercial bank off-site regulation Grey SOM Interval Grey Number Neural Networks Model

作者: Chuanmin Mi Sifeng Liu Yangzi Xu

作者单位: Nanjing University of Aeronautics and Astronautics, 29＃, Yudao Street, Nanjing City, Jiangsu Provinc Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu Province, China

会议类型: 国际会议

会议名称: 2007年IEEE灰色系统与智能服务国际会议(2007 IEEE International Conference on Grey Systems and Intelligent Services)

会议地点: 南京

会议语种:英文

在线出版日期: 2007-11-18（万方平台首次上网日期，不代表论文的发表时间）