利用概率分析和随机模型的密度演化方法，导出了系统的一些新的可靠性指标和最优检测策略。
The new system reliability indices and the optimal inspection policy are obtained by using probability analysis and the density evolution method in stochastic.
在一种新的准则概率阈值准则下讨论马尔可夫决策的最优解的算法问题。
The arithmetic problem of Markov optimum solution under a new principle named probability threshold value principle is discussed.
TA最优航迹规划技术可以在很大程度上提高突防飞行器的突防概率，是实现飞行器低空突防飞行的关键技术。
The probability of low altitude penetration can be highly improved by the TF/TA optimal trajectory planning. Trajectory planning is a key technique in realizing low-altitude-penetration.
针对考虑负荷概率分布的随机最优潮流问题，建立了相应的机会约束规划模型。
A chance constrained programming model is built to the stochastic optimal power flow problem (S-OPF) considering load probabilistic distributions.
秘书问题是典型而又有趣的一类最优停止问题。本文用全概率公式给出秘书问题的一种初等解法。
The secretary problem is a very typical and interested optimal stop problem. In this paper we give a primary solution about secretary problem by formula of total probability.
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.
研究了2维隐马尔可夫模型的三个基本问题，包括概率评估问题、最优状态问题和参数估计问题。
The three basic problems of two-dimensional (2-d) hidden Markov models (HMMs) are studied, including probability evaluation, optimal states and parameter estimation.
作为特例，分别得到了使选中最好的姑娘的概率最大和使选中的姑娘的绝对名次的数学期望最小的最优停止规则。
In partioular, the optimal stopping rules of maximizing the probability of employing the best applicant and minimizing expected rank are derived respectively.
现代优化算法主要解决全局最优问题，其本质是概率性的。
The main objective of modern optimization algorithm is to deal with the problem of global optimum, which is essentially probabilistic.
最近邻准则是一种次最优准则，当样本数目很大时，最近邻准则的错误率不会超过贝叶斯错误概率的2倍。
The misclassification probability of the nearest neighbor decision rule won't exceed 2 times of that of Bayes decision rule when the sample number is very large.
利用最小错误概率的概念，利用直方图得到目标的概率参数，得到车牌图像分析中最优的阈值的选取方法。
The paper USES the concept of Minimum error probability, to obtain the object probability parameter from square diagram, to get the method of the optimal threshold in images analysis.
它属于概率论与最优化理论的一个交叉研究领域，是最优停止理论中的一个著名问题。
As a famous problem of optimal stopping theory, it constitutes a field of study within probability-optimization.
本发明还提出了在不同的长度下最优的同步字符序列，进一步降低了错误同步的概率。
The invention further provides an optimal synchronous character sequence within different lengths, and further reduces the probability of synchronization errors.
人们往往希望只用较少的计算量就能找到有较大概率保障的近似最优解，蒙特卡罗方法就是达到这个目的的较为有效的一种方法。
People always hope to find the approximate optimum answer with affirmation of denser probability just use little work. Monte-Carlo method is a kind of valid method to get the aim.
贝叶斯学习是一种基于已知的概率分布和观察到的数据进行推理，做出最优决策的概率手段。
Bayesian learning is a probability method that makes optimal decision based on known probability distribution and recently observed data.
在不考虑状态转移概率的情况下证明了思维进化算法能够收敛到全局最优解。
Based on the model, the convergence of the algorithm is analyzed and the global convergence of the algorithm is proved when leaving the divert probability out of account.
通过对信息素更新策略、局部搜索算法、随机选择概率三个方面的改进，提高算法的全局最优搜索能力和收敛性。
Based on the pheromone updating strategy, local search algorithm, the probability of randomly selected three areas to improve, improve the algorithm's global search ability and convergence of optimal.
首先分析了在联合概率密度已知情况下的最优融合规则。
Firstly, the optimal fusion rule is analyzed when the joint PDF is known.
选这些参数的最大概率作为河道的最优化模型，利用所生成的最优化参数计算出河道砂体的边界面。
Choosing the maximum probability of channel geometry parameters as optimization model, the bounding surfaces of channel reservoir are computed with the optimization geometry parameters.
该最优化通过建立系统状态标记图，由稳定状态下的状态概率求出其它数量特征。
This optimization set up sign chart; evaluated other amount character by status probability in the state of stabilization.
通过自动调整初始概率，获得该准则函数的最优或次优解，从而得到满意的分割结果。
Thus the good segmentation result can be achieved by automatically adapting initial assignment of probabilities to reach the optimal or suboptimal solution of the evaluation criterion.
次优门限算法以最优门限分析为基础，在虚警概率约束下使用牛顿迭代给出求解门限的递推算法。
For suboptimal method based on optimal threshold analysis, a recursive form of threshold selection using Newton iteration is developed with false alarm probability constraint.
利用概率极限理论，证明了闭环系统的几乎必然一致稳定性和控制律的渐近最优性。
By the limit probability theory, it is shown that the closed-loop system is almost surely uniformly stable, and the control law is asymptotically optimal.
该算法本质上是一种随机搜索算法，并能以较大概率收敛到全局最优，特别适用于连续函数的优化。
The algorithm is a random searching algorithm in nature. It can converge to the global minima more probability and be adept in continuous functions optimization.
并证明了它依概率收敛于全局最优解。
The CSPSO is guaranteed to converge to the global optimization solution with probability one.
推导出使全局错误概率最小化的最优融合准则，以及全局的虚警概率和漏报概率的解析表达式。
The optimal fusion rule of minimizing global error probability is derived. The analytic expressions of global false alarm probability and miss probability are obtained.
实验表明该算法匹配准确度高，计算速度较快且减小了迭代落入局部最优解的概率。
Experiment indicate algorithm this match accuracy to be high, very fast is it fall into some optimum probability that solves to take the place of to change to reducing computational speed have.
因此，应以发现概率与命中概率的乘积作为最优匹配的评定准则。
Therefore, the product of the acquisition and the hit probabilities should be taken as the evaluation criterion of optimal matching.
因此，应以发现概率与命中概率的乘积作为最优匹配的评定准则。
Therefore, the product of the acquisition and the hit probabilities should be taken as the evaluation criterion of optimal matching.
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