The Research on Self-organizing Fuzzy Neural Network

摘要：

This paper advances a new method of self-organizing network. This method resolves the problem of the SOM which cant change the number of the network, and the structure of the neural network cant be changed on-line. And this new method combines with the fuzzy arithmetic, then the fuzzy rules can be changed on-line, it takes the experience out of the necessary side for the number of the fuzzy rules. The results of the simulations prove the superiority of this arithmetic in the non-line systems approach.

关键词： self-organizing neural network fuzzy ratiocinative rules non-line approach

作者: Junfei Qiao Honggui Han Yanmei Jia

作者单位: the College of Electronic and Control Engineering, Beijing University of Technology, Beijing, China the College of Electronic and Control Engineering, Beijing University of Technology, Beijing, China. he College of Electronic and Control Engineering, Beijing University of Technology, Beijing, China

会议类型: 国际会议

会议名称: The Second International Symposium on Intelligence Computation and Applications(ISICA 2007)(第二届智能计算及其应用国际会议)

会议地点: 武汉

会议语种:英文

在线出版日期: 2007-09-21（万方平台首次上网日期，不代表论文的发表时间）