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一种改进的Fuzzy-HMMS算法及其收敛性
引用本文:陈旭阳,李兵,张道鸿.一种改进的Fuzzy-HMMS算法及其收敛性[J].模糊系统与数学,2006,20(1):154-158.
作者姓名:陈旭阳  李兵  张道鸿
作者单位:国防科技大学,理学院,湖南,长沙,410073
摘    要:对D at T ran和M ichae lW agner等人提出的FCM-FE-HMM S算法作了进一步的补充和改进,提出了改进的FCM-FE-HMM S算法,并给出了算法收敛性分析,得出在给定初值的情况下该算法将收敛到一个局部最优解。

关 键 词:隐马氏模型  FCM算法  目标函数  收敛性
文章编号:1001-7402(2006)01-0154-05
收稿时间:2004-12-31
修稿时间:2005-04-17

A Modified Fuzzy-HMMS Algorithm and Its Convergence
CHEN XU-yang,LI Bing,ZHANG Dao-hong.A Modified Fuzzy-HMMS Algorithm and Its Convergence[J].Fuzzy Systems and Mathematics,2006,20(1):154-158.
Authors:CHEN XU-yang  LI Bing  ZHANG Dao-hong
Institution:College of Science, National University of Defense Technology, Changsha 410073, China
Abstract:The paper makes a further renew and improvement to the FCM-FE-HMMS algorithm(which) was presented by Dat Tran and Michael Wagner.A modified FCM-FE-HMMS algorithm is(proposed) and convergence of the algorithm is analysed which comes to a conclusion that the algorithm will terminate at a local and optimal solution if initial value is given.
Keywords:Hidden Markov Models  FCM Algorithm  Objective Function  Convergence
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