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Fuzzy-2D-HMMS算法及其收敛性 被引量:1

Fuzzy-2D-HMMS Algorithm and Its Convergence
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摘要 通过对Dat Tran和Michael Wagner等提出的FCM-FE-HMMS算法研究,并把它与2维隐马氏模型联系起来,提出了Fuzzy-2D-HMMS算法,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。 The paper studies the FCM-FE-HMMS algorithm which was presented by Dat Tran and Michael Wagner. Related to 2-D HMM the Fuzzy-2D-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.
出处 《模糊系统与数学》 CSCD 北大核心 2009年第4期161-167,共7页 Fuzzy Systems and Mathematics
关键词 2维隐马氏模型 FCM算法 目标函数 收敛性 2-D Hidden Markov Models FCM algorithm Objective function Convergence
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同被引文献21

  • 1杜世平.混合二阶隐马尔可夫模型的Baum-Welch算法[J].云南大学学报(自然科学版),2006,28(2):98-102. 被引量:5
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  • 4Langrock R, Zucchini W. Hidden Markov models with arbitrary state dwell-time distributions.Computational Statistics Data Analysis, 2011,55(1): 715-724.
  • 5Douc R, Moulines E, Olsson J, Handel R V. Consistency of the maximum likelihood estimatorfor general hidden Markov models. The Annals of Statistics, 2011,39(1): 474-513.
  • 6Rabiner L R. A tutorial on hidden Markov models and selected applications in speech recognition.Proceedings of the IEEE, 1989,77(2): 257-286.
  • 7D, Liu H J, Wang Y F. BSS-HMM3s: An improved HMM method for identifying transcriptionfactor binding sites. DNA Sequence, 2005,16(6): 403-411.
  • 8Mari J F, Haton J P, Kriouile A. Automatic word recognition based on second-order hiddenMarkov models. IEEE Transactions on Speech and Audio Processing^ 1997, 5(1): 22-25.
  • 9Jiang H X, Wang X J, Tian J L. Second-Order HMM for Event Extraction from Short Message.Lecture Notes in Computer Science 6177, Hopfe C J, et al. (Eds.), Berlin: Springer-Verlag, 2010,149-156.
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