Design of Indirectly Measuring Model Based on Fuzzy C-Mean Cluster Neural Network

摘要：

Based on simple introduction of Neural Network and Fuzzy Logic, this article discusses a method utilizing Fuzzy C mean cluster and RBF network, and constructs indirect measurements model in this way. This technique fits non-linear model very well and can improve measurements accuracy and reliability effectively.

作者: Pan Guangbin Chen Guangju

作者单位: The Automatic College of University of Electronic Science and Technology, Chengdu Sichuan 610054,Chi The Automatic College of University of Electronic Science and Technology, Chengdu Sichuan 610054,Chi

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）