Wherein Markov property of the neural network is based on "assuming".
其中网络的马尔科夫性是被假定成立的。
The martingale property and the strong Markov property of this kind of surplus process are discussed.
讨论了该盈余过程的马尔科夫性和鞅性。
By the strong Markov property of the surplus process, we derive the expected discounted penalty function.
利用盈余过程的强马尔可夫性，得到了期望折现罚金函数。
The new concepts of the strong Markov property and rlaxed past progressive measurability on two-parameter processes are introduced in this paper.
引入了两指标过程的强马氏性和宽过去循序可测的新概念。
The conditions are given which the processes obtained from stopping points transformation remain the Markov property which are defined in this paper.
讨论了在这种定义下的两类马氏过程经停点变换后保持马氏性及强马氏性的条件。
The structure of the GGM is explored by the connection between the local Markov property of texture features and the conditional regression of Gaussian random variables.
根据纹理特征的局部马尔可夫性和高斯变量的条件回归之间的关系，将复杂的模型选择转变为较简单的变量选择，应用惩罚正则化技巧同步选择邻域和估计参数。
In this paper, we deduced the explicit expression of the absolute ruin probability for classical risk model by using of the Markov property and strong Markov property of PDMP.
根据逐段决定马尔可夫过程具有马氏性和强马氏性，本文推导出了在古典风险模型下绝对破产概率的一个明确表达式。
When the state process has Markov property, the recursive formulae for the conditional distribution density functions of filtering, prediction. and interpolation, are given respectively.
当状态过程具有马氏性时，还分别给出滤波、预测以及内插的条件分布密度函数的递推格式。
The method bases on the stochastic representations of the solutions, the distributions of the time and place of hitting spheres and the strong Markov property for Brownian family with drift.
这种方法运用了解的随机表达式、球面击中时和位置的分布以及漂移布朗族的强马氏性。
Using the property of Markov at the points of replacement period, a model of determining the optimal period is developed with objective of maximizing the mean time to first failure of system.
利用在更换周期点上具有的马尔可夫性质，以系统首次故障前平均工作时间最大为目标建立了确定最佳更换周期的模型。
As corollaries, some asymptotic equipartition property theorems for arbitrary information source, m-order Markov information source, and non-memory information source were obtained.
得出了若干任意信源、m阶马氏信源、无记忆信源的渐进均匀分割性定理，并将已有的关于离散信源的结果进行了推广。
In this paper, we study the asymptotic equipartition property (AEP) form order nonhomogeneous Markov information source.
本文研究非齐次m阶马氏信源的渐近均分割性。
The purpose of this is to study the mixing property of hidden nonhomogeneous Markov models.
本文的主要目的是研究隐非齐次马尔可夫模型的混合性。
The purpose of this is to study the mixing property of hidden nonhomogeneous Markov models.
本文的主要目的是研究隐非齐次马尔可夫模型的混合性。
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