A EVOLVING FUZZY CLASSIFICATION SYSTEM

摘要：

In this paper, an evolving fuzzy classifier system is introduced. First, the basic characters and structure frames of this system is introduced. Then, the dynamic clustering algorithms which can dynamically cluster the input training patterns is presented. For each cluster, a fuzzy rule with an ellipsoidal region around a cluster center is defined. The strategy of tuning fuzzy rules is that the slopes of the membership functions are tuned successively until there is no improvement in the recognition rate of the training patterns.The tuning method and the policy of inserting rules and aggregating rules are discussed. This system is evaluated with the Fisher Iris data and Pen-Based Recognition of Handwritten Digits data.

关键词： Fuzzy Classification Ellipsoidal Regions Dynamic Clustering

作者: AI-MIN YANG YONG-MEI ZHOU MIN TANG PING LIU

作者单位: Department of Computer Science, Hunan University of Technology, ZhuZhou, 412008, China

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 1615-1620

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）