This paper studies the general theory of Markov chains in random environments.
本论文研究了随机环境中马氏链的一般理论。
Some strong limit theorems for nonhomogenous markov chains in random environments;
利用分析方法研究了马氏环境中马氏链的若干强极限定理。
An average reward reinforcement learning algorithm for control Markov chains is presented.
讨论平均准则控制马氏链的强化学习算法。
The article mainly predicts the market occupancy rate using the knowledge of Markov chains.
利用马尔可夫链的有关知识可以对市场占有率进行预测。
The paper appraises the effect of teaching using Homogeneous Markov chains analysis method.
采用齐次马尔可夫链分析法确定教学效果的好坏。
We establish the strong limit theorem for countable Markov chains indexed by a homogeneous tree.
研究了齐次树指标可列马氏链的一类强极限定理。
A new two-layer Markov chains anomaly detection model that operated on system call traces was presented.
提出了一个两层马尔可夫链异常入侵检测模型。
Some relationships between Markov chains in random environments and jointly Markov chains are discussed.
讨论了马氏双链与随机环境中马氏链的关系。
This article is going to study the convergence and rate of convergence about nonhomogeneous Markov chains.
本文主要研究非齐次马氏链的收敛及收敛速度。
In the proof a new analytic technique in the study of the strong limit theorems for Markov chains is applied.
证明中应用了研究马尔可夫链强极限定理的一种新的分析方法。
This article discusses mainly the application of the theory of Markov Chains in the configuration of Locomotive Depot.
主要运用马尔可夫链来研究机务段中机车的配属问题。
An algorithm for computing the stationary distribution of finite state discrete time Markov Chains is provided in the paper.
论文提出了一种计算有限状态离散时间马尔科夫链平稳分布的算法。
In the third chapter, we study the rate of convergence of nonhomogeneous Markov chains and the absolute average strong ergodic.
第三章研究一类非齐次马氏链的收敛速度及绝对平均强遍历性。
In this paper we discuss the classification of states and the invariant measure in coupling space in skew produce Markov chains.
本文主要讨论了绕积马氏链的状态分类和耦合空间上不变测度问题。
A homogeneous discrete-time Markov chains model is used to characterize migration of large earthquakes along an active fault zone.
利用齐次离散时间马尔可夫链模型描述了大地震沿一条活动断裂带的迁移过程。
As corollaries, a limit theorem for the mth-order nonhomogeneous Markov chains is obtained. Moreover. The results obtained are gen...
作为推论，得到m重非齐次马氏链的一个强极限定理，并将已有的结果加以推广。
Grey Markov Model for forecasting net income is presented by means of combining Grey system theory with dispersed Markov Chains theory.
将灰色理论和离散状态的马尔可夫链相结合，用灰色马尔可夫链对农村居民人均纯收入进行实证研究。
Existence and uniqueness of the stationary distribution of countable discrete time homogeneous Markov chains is discussed in this paper.
本文考虑可数状态离散时间齐次马氏链平稳分布的存在与唯一性。
In the first chapter the Markov chains in random environment are defined and some properties of the Markov in random environment are studied.
在第一章，定义了随机环境中的马氏链并给出了一些基本性质。
Moreover, we also find the relation between Markov digraphs and renewal digraphs, similar to that between Markov chains and renewal sequences.
而且，我们还提出一种所谓更新图，它和马尔可夫图的关系类似于更新序列和马尔可夫链的关系。
The results indicate that the precision of prediction and the reliability of evaluation are raised owing to the use of the Grey-Markov chains.
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。
Hence, in our model of Markov chains, the directed transport phenomenon of Brownian motors can occur only in nonequilibrium and irreversible systems.
因此，在我们的马氏链模型下，布朗马达中的定向粒子流只能在非平衡，也就是不可逆的系统中出现。
Markov chains forecasting method could make probability prediction of MDM and could be a reference to long-term developing trend forecasting of this disease.
马尔科夫链预测法可对玉米矮花叶病发生程度作概率预测，可作为该病长期发生趋势预测预报的一个参考。
In the third part we introduce the basal suppose of the Markov chains forecasting, including the states partition and the confirmation of the transferring matrix.
第三部分，对企业的财务报表应用马氏过程进行预测的基本假设，包括状态的划分，转移矩阵的确定。
In this paper, Markov Chains is applied to forecast the building market. This procedure may be available for reference to the management of construction enterprises.
本文利用马尔可夫链对建筑市场进行了预测，对建筑企业的经营管理具有一定的参考价值。
The theory of Markov chains was fruitfully applied to estimating the expected mine-sweeper casualties of the two forms of the progressive sequence sweeping technique.
为了比较这2种清扫模式下扫雷艇期望损失的大小，应用马尔可夫过程理论对这两种清扫模式的扫雷舰艇期望损失进行了一定条件下的分析。
In order to solve the problem of state space explosion of Markov chains in the research field of dynamic fault tree, a new method based on isomorphic node is presented.
为了解决动态故障树研究领域的马尔可夫链状态空间爆炸问题，给出了一个基于同构节点的动态故障树分析方法。
Secondly, taking the posterior probability as the target distribution, the Adaptive Metropolis algorithm was used to construct the Markov Chains of unknown parameters.
接着以后验概率分布为目标分布采用自适应Metropolis算法构造Markov链；
Secondly, taking the posterior probability as the target distribution, the Adaptive Metropolis algorithm was used to construct the Markov Chains of unknown parameters.
接着以后验概率分布为目标分布采用自适应Metropolis算法构造Markov链；
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