An Efficient Supervised Clustering Algorithm Based on Neural Networks

摘要：

Clustering is a fundamental technology in Artificial Intelligence. Radial basis function neural network (RBFN) is a kind of Artificial Neural Network with simple structure. In this paper, we introduce supervised clustering into RBFN and create a novel supervised fuzzy clustering network based on linear regression model which shows better results in regression task. We propose a novel local modeling technology based on fuzzy partition and supervised clustering which uses different algorithms according to each subsets modeling difficulty respectively and thus overcomes its antecessors shortcomings.

关键词： Clustering Supervised neural network

作者: Yuanping Zhu

作者单位: School of Information Engineering Institute of Technology Nanchang, China

会议类型: 国际会议

会议名称: 2010 3rd International Conference on Advanced Computer Theory and Engineering(2010年第三届先进计算机理论与工程国际会议 ICACTE 2010)

会议地点: 成都

会议语种:英文

页码: 1-4

在线出版日期: 2010-08-20（万方平台首次上网日期，不代表论文的发表时间）