利用马尔可夫过程的理论和方法，模拟多级塔板上的液体随机流动现象。
The phenomenon of random fluid flow on multistage column trays is simulated by applying theory and method of Markov process.
它直观上可视作半动力系统随机中断(或出现问题)的时刻，亦可视作逐段决定马尔可夫过程的首次随机跳跃时刻。
In a sense, it can be seen as the time when semi-dynamic system is killed, or as the time the first random jump of piecewise deterministic Markov process.
本文对BMS进行了介绍，并分别利用随机过程中马尔可夫链的知识和时间序列中的INAR(1)模型对BMS进行了研究。
This paper will first introduce BMS, then study BMS by Markov chain in stochastic process and INAR (1) model in time series.
氧乙炔火焰的燃烧过程是一个随机过程，用对随机过程有很好模拟能力的隐马尔可夫模型(HMM)对其进行建模与识别，可以达到更好的效果。
The combustion process of the oxyacetylene flame is a random one, it obtains good result using the Hidden Markov Model (HMM) which has good imitation ability on the random process.
氧乙炔火焰的燃烧过程是一个随机过程，用对随机过程有很好模拟能力的隐马尔可夫模型(HMM)对其进行建模与识别，可以达到更好的效果。
The combustion process of the oxyacetylene flame is a random one, it obtains good result using the Hidden Markov Model (HMM) which has good imitation ability on the random process.
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