说明：  隐马尔可夫模型（Hidden Markov Model，HMM）是统计模型，它用来描述一个含有隐含未知参数的马尔可夫过程。其难点是从可观察的参数中确定该过程的隐含参数。然后利用这些参数来作进一步的分析，例如模式识别。是在被建模的系统被认为是一个马尔可夫过程与未观测到的（隐藏的）的状态的统计马尔可夫模型。
(Statistical learning method > > hidden Markov model forward and backward probability algorithm.Hidden Markov model (HMM) is a statistical model, which is used to describe a Markov process with hidden unknown parameters. The difficulty is to determine the hidden parameters of the process from the observable parameters. These parameters are then used for further analysis, such as pattern recognition. Is a statistical Markov model in which the system being modeled is considered to be a Markov process with unobserved (hidden) states.)