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probabilistic constraint
相关语句
  概率约束
     An Improved Dynamic Matrix Control Algorithm Based on Probabilistic Constraint
     一种改进的基于概率约束DMC控制算法
短句来源
     The authors propose an approximation method for solving stochastic programming of minimizing the cost expection function with probabilistic constraint conditon,and discuss some kind of convergences.
     提出了一种求解在概率约束条件下极小化价格期望函数的随机规划问题的逼近法,并讨论了该法所具有的某种收敛性.
短句来源
     In order to get better dynamic response speed and robustness for controlled objects with probabilistic constraint, differential element of tracking error is introduced into optimization objective function, then the probabilistic constraint is converted into deterministic constraint by using Gaussian approximation, thus constraint DMC predictive control algorithm is established.
     为了使具有概率约束的被控对象具有更好的动态响应速度和鲁棒性,在优化性能指标函数中引入跟踪误差的微分项,再通过高斯近似把概率约束指标转换为确定约束,建立有约束DMC预测控制算法。
短句来源
  “probabilistic constraint”译为未确定词的双语例句
     This paper suggests an application of a probabilistic constraint in the context of multi-item (Q,R) ordering policy based on previous research on single period multi-item inventory systems with linear constraints, which significantly improves warehouse and capital management.
     在原有单周期线性资源约束下的多品种订货策略的基础上,通过将一种概率形式的库存资源约束应用于多品种(Q,R)策略,实现对仓库面积和运营资金更为科学的管理和控制。
短句来源
  相似匹配句对
     On Liability Constraint
     略论责任约束
短句来源
     Constraint Processing
     约束问题求解
短句来源
     Research and Implementation of Probabilistic Planner Based on Mutex Constraint and Its Extended Algorithm
     基于互斥约束的概率规划器及其扩展算法的研究与实现
短句来源
     An Improved Dynamic Matrix Control Algorithm Based on Probabilistic Constraint
     一种改进的基于概率约束DMC控制算法
短句来源
     Probabilistic approximations for C-semigroup
     C半群的概率逼近问题
短句来源
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  probabilistic constraint
On the Connectedness of Probabilistic Constraint Sets
      
Probabilistic Constraint Satisfaction at the Lexical/Phonetic Interface: Evidence for Gradient Effects of Within-Category VOT on
      
The inference power is less than a full-fledged probabilistic constraint propagation device but corresponds better to what could be thought of as commonsense probabilistic reasoning.
      
In our analysis, a rule is defined as a probabilistic constraint of true assignment to the class attribute for corresponding examples, and we mainly analyze the case in which we try to avoid finding a bad rule.
      
It is found that a composite probabilistic constraint induces considerably lower abatement cost than separable probabilistic restrictions.
      
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The authors propose an approximation method for solving stochastic programming of minimizing the cost expection function with probabilistic constraint conditon,and discuss some kind of convergences.

提出了一种求解在概率约束条件下极小化价格期望函数的随机规划问题的逼近法,并讨论了该法所具有的某种收敛性.

The optimal design methods of probabilistic constraints is discussed. New method based on Chebyshev moment unequality of probability density function, so call Chebyshev point method, is given. The calculating results show that this approach improves both the accuracy of probability calculation and the robustness of optimum and may overcome the inaccuracy of moment matching method and significicant processing time of generalized simulation optimization. The effect is quite satisfaction.

分析了概率约束的优化设计方法。提出了一种基于概率密度函数矩不等式的契贝雪夫点法。计算结果表明,该方法既保证了概率计算的精度,同时又克服了矩匹配法的不精确性和广义模拟优化方法计算量过大的缺点。效果是十分满意的。

Influence Functions in robust statistics are introduced to stochastic programming models under probabilistic constraints.Based on certain conditions,we obtain corresponding expressions on influence functions of optimal solutions for three models.

本文把稳健统计的影响函数概念引入到了概率约束下的随机规划模型中.在一定条件下,得到了三个模型最优解的影响函数表达式.

 
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