分析了概率约束的优化设计方法。
The optimal design methods of probabilistic constraints is discussed.
提出了概率约束的确定性等价转换方法。
The equivalent transformation approach is put forward for the probability constraint.
此外，提出了这种具有概率约束多目标随机规划问题的一种有效解模型。
In addition, the efficiency solution scheme of this problem is given, after the multiple objective stochastic programming with probabilistic constrained is discussed.
研究了具有随机参数的连续体结构在频率概率约束下的动力特性拓扑优化问题。
Based on frequency probability constraints, the models of topology optimization for a bending thin plate and a plain stress thin plate are constructed.
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.
随后我们提出了求解这类概率约束随机规划的一种近似算法，并在一定的条件下证明了算法的收敛性。
And then, we present an approximation method for solving this probabilistic constrained stochastic programming, and prove certain convergence of the method under some conditions.
在原始规划可行集上引入了正则的概念，并在此正则条件下，研究了更一般的概率约束规划问题的稳定性。
The concept of regularity of feasible set is presented, under the regularity condition, the stability of more general probabilistic constrained programs problems is studied.
概率结构优化设计(PSDO)中概率约束的评定可以采用最近提出的、被认为更高效、稳定的功能度量法(PMA)。
The evaluation of probabilistic constraints in probabilistic Structural Design Optimization (PSDO) can be carried out using the recently proposed performance measure approach (PMA).
在一定的条件下，得到了概率约束规划逼近最优解集的稳定性和最优值的连续性，从而对近似求解这类问题提供了某种理论依据。
The stability of approximate optimal solutions sets and the continuity of optimal values of probabilistic constrained programs are obtained under some conditions.
该模型计及了暂态稳定性约束、事故发生概率及系统失稳损失。
This model takes into account the transient stability constraints and contingency occurrence probability and system instability impacts.
通过对多目标联合概率数据关联方法性能特征的分析，将其归结为一类约束组合优化问题。
The properties of the joint probabilistic data association(JPDA)are analyzed, and data association is reduced to a sort of constraint combinatorial optimization problem.
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.
从概率基本公式出发，在偏态分布的约束条件下，经数学推导；建立概率积分式。
From a probability basic equation through mathematical deduction, a probability integral equation is set up in constraint condition of non-normal distribution.
论文拟用概率方法评估系统的旋转备用，即在机组最优启停模型中引入可靠性约束。
In this paper, the probabilistic technique is used to evaluate the spinning reserve requirements of the system, that is, the reliability constraint is considered in the model of unit commitment.
所谓最大熵方法就是遵循最大熵原则建模，也就是选择这样的一个统计概率模型：在满足约束的模型中选择熵最大的那个。
The so-called maximum entropy method is to find a model keep to the maximum entropy principle, which means select the statistic model that has the maximum entropy and satisfy all the constrains.
依据这一模型，该方法使用贝叶斯理论和领域约束获得了区域和边界的最大后验概率估计。
The method is to derive the maximum a posteriori estimate of the regions and the boundaries by using Bayesian inference and neighborhood constraints based on Markov random fields(MRFs) models.
依据这一模型，该方法使用贝叶斯理论和领域约束获得了区域和边界的量大后验概率估计。
The method is to derive the maximum a posteriori estimate of the regions and the boundaries by using Bayesian inference and neighborhood constraints based on Markov random fields (MRFs) models.
同时改进了现有的直觉模糊聚类算法中的概率型约束条件，使其对噪声和野值点具有较好的鲁棒性。
Besides, it was robust to the noises because it improved the constraint conditions used in the existing intuitionistic fuzzy clustering algorithm.
在求解随机最优路径方面，其问题分两种情形：一种以成功概率为优化目标，搜索约束条件下完成运输任务最大概率的路径；
Two scenarios are considered: one sets the success probability as the objective and tries to find out the route with the maximum probability subject to time constraint;
在此模型中，把错误概率和检测率作为失真约束，运用博弈论的方法分析了博弈双方在不同失真约束条件下的隐写容量。
Then the author give a proof of the hiding capacity under the condition of no attack, and discuss the characteristic of the model.
在此模型中，把错误概率和检测率作为失真约束，运用博弈论的方法分析了博弈双方在不同失真约束条件下的隐写容量。
Then the author give a proof of the hiding capacity under the condition of no attack, and discuss the characteristic of the model.
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