本文应用马尔柯夫链进行地层序列分析。
The study of sedimentary cycles at analyzing stratigraphic sequence is important.
并利用马尔柯夫链对其进行了可靠性问题的建模。
And Markov chain is used to analyze and model for the reliability problem.
利用马尔柯夫链和模糊集理论，建立多指标动态模糊评价模型。
A dyn amic fuzzy evaluation model is created, which is based on a discrete MARKOV process and fuzzy set theory.
研究表明，灰色马尔柯夫链模型提高了预测的精确度和评价的可信度。
The results indicate that the precision of prediction and the reliability of evaluation are raised owing to the use of the Grey-Markov chains.
运用马尔柯夫链随机性教学模型对研究区陆表海盆地沉积序列特性进行了分析研究。
The feature of the sedimentary succession of the epicontinental sea basin in the study area was analyzed by means of the stochastic math model, Markov chain.
马尔柯夫链适用于大样本数据序列的短期预测，而灰色系统预测方法适用于小样本数据的中期预测。
Markov Chain is suitable for short-term forecast of great capacity sample data sequence, but gray system forecast method is suitable for medium-term forecast of few capacity sample data sequence.
本文探讨了马尔柯夫链在高校绩效评估中的应用，对其原理、步骤进行了分析，并对这一方法作了简要评价。
This article discusses the application of Markov Chains in universities and colleges' performance evaluation, including its principle and the steps, and makes a brief appraisal to this method.
以某化工厂的污染事故的经济损失作为实例，利用灰色马尔柯夫链模型对其经济损失的预测作了尝试性的探讨。
Taking a chemical factory for example, the authors make a tentative study on the prediction of its economic loss of pollution accidents according to the Grey-Markov chains model.
采取相关分析、随机模拟、蒙特卡罗和马尔柯夫链等方法进行了一系列的分析和计算，从而建立了一组风险函数。
The series are calculated and analyzed by correlation analysis, stochastic simulation, Monte Carlo, and Markov chain, Monte Carlo, so a group model of risk function is established.
文章在解决流行病的若干问题时应用了吸收马尔柯夫链数学模型，并对城市中人口寿命、人口结构状况及死亡原因进行了初步分析。
Mathematical model of Absorbing Markov Chain is used in studying epidemiology. A preliminary analysis is given in the population life, structure of the population and the cause of death to the city.
然后，将输出分组流转换为连续时间的马尔柯夫链，分析了输出分组流的概率特性，并得到了输出排队长分布和充满缓冲器的概率。
Then output traffic stream is converted into continuous time Markov Chain, the probability Characteristics of output traffic stream are analysed and the output queues...
然后，将输出分组流转换为连续时间的马尔柯夫链，分析了输出分组流的概率特性，并得到了输出排队长分布和充满缓冲器的概率。
Then output traffic stream is converted into continuous time Markov Chain, the probability Characteristics of output traffic stream are analysed and the output queues...
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