隐夫

隐夫隐夫
  1. 采用隐马尔卡夫模型(HMM)对工作流模型进行了抽象表示;

    In the course of inducing , the structure of the workflow model is showed with HMM ( hidden markov models ) .

  2. 基于隐尔马可夫模型(HMM)的强制对齐方法被用于文语转换系统(TTS)语音单元边界切分。

    HMM models are widely used in the automatic speech recognition system to segment text-to-speech ( TTS ) units in the forced alignment mode .

  3. 基于隐马尔克夫模型的现代汉语句法分析

    Syntax Parsing of Contemporary Chinese Based on Hidden Markov Model

  4. 利用隐马尔克夫模型与支持向量机相结合,对站立和行走过程中的下肢表面肌电信号进行分类,用来控制多功能假肢。

    Classifying myoelectric signals using hidden Markov model and support vector machine to process myoelectric signals , with the task of discrimination five classes of multifunction prosthesis movement .

  5. 然后将其分别送入5个隐马尔克夫模型进行分类识别,选择最有可能的两种分类结果;最后利用支持向量机判定肌电信号对应的运动模式。

    In the end , basing on the most possible two results of classification by hidden Markov model , the corresponding support vector machine classifier is selected to make final decision .

  6. 利用隐马尔可夫模型对于随机过程的强大模式分类能力及其与传统方法相比具备的独特的自适应特性,本文率先建立了基于火焰图像序列的锅炉燃烧状态的一维隐马尔可夫模型和伪二维隐马尔可夫模型。

    HMM has a strong ability of classification to random process and unique adaptability comparing with traditional modes . Making use of the features above , one dimension HMM and pseudo two dimension HMM of boiler combustion state based on flame image-serial are firstly established in this dissertation .