EM Algorithm Based on Fuzzification and its Application

摘要：

　　EM algorithm is a common method to solve mixed model parameters in statistical classification of remote sensing image.The EM algorithn based on fuzzification is presented in this paper to use a fuzzy set to represent each training sample.Via the weighted degree of membership,different samples will be of different effect during iteration to decrease the impact of noise on parameter learning and to increase the convergence rate of algorithm.The function and accuracy of classification of image data can be completed preferably.

关键词： EM algorithm Fuzzification Application

作者: Tong Tingting Wu Zhen Hua

作者单位: Modern Education Technology Center, Hunan Communication Polytechnic, Changsha, China Institute of Mathematics and Computing Science, Changsha University of Science & Technology,Changsha

会议类型: 国际会议

会议名称: 2012 2nd international Conference on Materials Science and Information Technology(2012第二届材料科学与信息技术国际会议)(MSIT2012)

会议地点: 西安

会议语种:英文

页码: 1445-1449

在线出版日期: 2012-08-24（万方平台首次上网日期，不代表论文的发表时间）