利用马尔科夫过程讨论了其迁移概率。
然后给出了隐马尔科夫过程动态系统的一般模型。
Also we present commonly model of Hidden Markov Processes dynamic system.
马尔科夫过程模型已经广泛地应用于系统可靠性评价中。
Markov Process Model has been widely used in system reliability evaluation.
任何可以被描述成为这样一种形式的系统就是马尔科夫过程。
Any system that can be described in this manner is a Markov process.
基于模糊评价和马尔科夫过程，研究了在役桥梁承载力可靠度的时变规律。
The time-varying reliability of existing bridge on bearing capacity was discussed based on fuzzy evaluation and Markov process.
基于马尔科夫过程的强化学习作为一种在线学习方式，能够很好地应用于单智能体环境中。
Reinforcement learning based on Markov decision process is a way of on-line learning, which can be applied to single agent environment.
利用概率分析和向量马尔科夫过程方法，求得了系统的可靠性指标并研究了最优诊断策略。
By using probability analysis and the method of vector Markov process, reliability indexes are obtained, the optimal diagnostic policies are studied.
运用马尔科夫过程的有关理论，提出了一种基于向量马尔科夫链的配送服务可靠性评价方法。
Through applying the theory of Markov Process, a forecast method of reliability of distribution service based on Vector Markov Chain is suggested;
该方法克服了用常用马尔科夫过程研究可修系统时计算繁琐，且不易于用计算机编程实现等缺点。
This method overcome the disadvantage of Markov process, which fussy in calculation and difficult to program in computer.
以钾离子单通道门控机理的分析为前提，探索钾离子通道门控动力学马尔科夫过程的模型，并选出相对简单的模型。
Taking the study of gating mechanism of potassium channel as the basis, this article approaches modeling method of Markov process of gating mechanism, and selects the relatively simple model.
群体生灭是复杂的随机过程，但它是具泊松性质的马尔科夫过程，因而可以用马尔科夫决策规划的理论和方法来研究。
A colony "birth-and-death" process is complicated stochastic process, a Markovian process with the nature of Poisson. And it cak be studied by the theory and method of Markovian decision programming.
由于强化学习理论的限制，在多智能体系统中马尔科夫过程模型不再适用，因此不能把强化学习直接用于多智能体的协作学习问题。
Due to the theoretical limitation that it assumes that an environment is Markovian, traditional reinforcement learning algorithms cannot be applied directly to multi-agent system.
本文首先使用马尔科夫过程模拟虚拟企业的…更多虚拟化过程，进一步推导出虚拟产业集群的网状结构，对虚拟产业集群进行稳定性分析。
At first, the article simulated virtualization processes on Markov processes and deduced network of virtual industry cluster. It also analyzes the stability of virtual industry cluster.
利用马尔科夫过程理论和矩阵解法求出了稳态概率的矩阵解，并得到了系统的平均队长、平均等待队长以及顾客的平均止步率等性能指标。
The matrix form solution of the steady-state probability was derived by the Markfov process method and the matrix solution method. Some performance measures of the system such as th…
运筹学和马尔科夫决策过程处理以一个序列发生的行为。
Operations research and Markov decision processes tackled actions taking place in a sequence.
为了计划后面多个步骤，当可能的世界状态数目不算太多时，通常用到一种被称作马尔科夫决策过程的算法。
In order to plan ahead for multiple moves, an algorithm known as a markov decision process is commonly used when there are only a reasonably small group of possible world states.
在实践中，这是一个马尔科夫模型对与实际过程的一个最不现实的假设之一。
In practice, this is one of the most unrealistic assumptions of Markov models about real processes.
特别地，约化模型应用了随机过程中的马尔科夫理论。
Particularly, the markov theory of random process has been used in reduced model.
本文阐述了离散时间点过程理论，时变马尔科夫链及鞅差分序列在城市交通车队状态观测器中的应用。
This paper presents some applications of discrete - time point process theory, time - varying Markov chain and Martingle difference in urban traffic computer-based control systems.
本文研究了将一般的排队系统转化为马尔科夫排队过程，因而可以利用马尔科夫决策规划的求值运算来求解。
This paper studies that any system of queue can be transformed into Markovion queuing process and therefore, the solution can be obtained by Markovion Decision Programming's value operation.
在本论文中，我们讨论了三种视频源模型：自回归模型、马尔科夫调制流体流模型、马尔科夫调制泊松过程模型(MMPP)。
In this paper, we discuss three types of video source models: a autoregressive model, a Markov-modulated fluid flow model, and a Markov-modulated Poisson process model (MMPP).
讨论了该盈余过程的马尔科夫性和鞅性。
The martingale property and the strong Markov property of this kind of surplus process are discussed.
该跨层设计将问题的求解建模为马尔科夫决策过程，利用线性规划推导出最优的自适应传输策略。
The solution to the cross-layer design is modeled as a Markov decision process and utilizes the linear programming method to obtain the optimal adaptive transmission policy.
在预测林火发生方面，考虑到人为火是发生森林火灾的主要原因，有很大随机性，因而采用了马尔科夫随机过程理论。
This study supported by mathematical method was from a new angle. For example, in the aspect of forest fire forecast, the main cause of forest fire was artificial fire, which had lots of randomness.
马尔科夫随机场是马尔科夫随机过程在二维参数中的推广。
Markov Random Field is extension of Markov Processing at the two-dimensional parameters set.
马尔科夫随机场是马尔科夫随机过程在二维参数中的推广。
Markov Random Field is extension of Markov Processing at the two-dimensional parameters set.
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