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### 部分状态可见的隐马尔可夫模型状态序列的估计方法

• 出版日期:2019-06-25 发布日期:2019-06-13

### Methods for State Sequence Estimation of Hidden Markov Model with Partially Visible States

Lou Zhenkai et al

• Online:2019-06-25 Published:2019-06-13

Abstract: In this paper, problems of state sequence estimation in HMM with partially visible states are studied. After analyzing the shortcoming of the existing algorithms when handling state estimation in this type of HMM, this paper calculates the posterior probabilities of the states before and after the visible state via Bayesian analysis by treating state transfer probabilities, observation probabilities and visible states as prior information, presents the initial condition and recursion formula, and obtains the most possible state corresponding to every observation symbol as well as the best estimation of the state path by using dynamic programming recursion. An application example of failure recognition is given and the proposed algorithm is verified to be feasible.