查询词典 stochastic

We propose a discrete stochastic approximation algorithm adaptively select a better cooperative subset using criteria such as minimum error rate.

通过蒙特卡罗仿真验证了分析结果以及该算法的性能，并举例说明该算法的收敛性。

3We generalized some results in stochastic approximation alongwith solving practical problems.

3在解决实际问题的同时，我们实际上推广了随机逼近中的已有结果。

Genetic algorithms ; inverse design ; stochastic approximation ; gradient

遗传算法；反设计；随机逼近；梯度

The results show that in both the large- and small-sample conditions, the accelerated stochastic approximation (Kesten, 1958) performs well with medium to large step size.

结果显示，不管在大样本还是小样本情况下，以快速随机接近法（Kesten，1958）使用中到大的梯级表现最佳。

By combining the one dimensional search procedure in the determinate nonlinear programming problem with the stochastic approximation procedure, a new yield optimization algorithm is proposed and the rate of convergence is increased.

将确定性非线性规化问题求解的一维搜索过程与随机逼近搜索过程结合，提出了一种全新的合格率优化算法，进一步提高了合格率优化过程的收敛速度。

The problem of pricing American options using the quadratic approximation method with stochastic volatility and jumps is considered in the second part of the thesis.

而论文的第二个部分是研究随机波动模型如何扩展到美式选择权上的应用，考虑在可能提早履约的情境下，标的物之随机波动性与代表突发冲击事件之跳跃模式，如何来影响提早履约溢酬的问题。

At first the definition of prediction values of system, network model, prediction model are given, then the stochastic approximation character of the system including simple system noise when identified by a network model using seriesparallel scheme is analyzed as well as the effect of noise on the model multi-step prediction is discussed.

首先对系统、网络模型、预报模型的各种预报值作了定义，然后针对只含简单系统噪声的系统讨论了在串-并联辨识方案下模型对系统一步预报的概率逼近特性，并分析了噪声对模型多步预报的影响。

After introducing the unified model structure and applying stochastic approximation principle, the general recursive identification algorithm of several on-line identification methods is developped.

在引进统一的模型结构以后，利用随机逼近原理，提出了各种在线识别算法的一般递推形式。

According to stochastic approximation theory, when deterministic continuous time method is used to analyze convergence of MCA learning algorithms, the learning rate is required to approach to zero.

具有固定学习速度的MCA学习算法的收敛性分析根据随机逼近理论，当确定连续时间方法被用于分析MCA学习算法的收敛性时，学习速度被要求趋于零。

In each period, without the knowledge of the distribution function of the time between failures and the repair time, the PA estimate of gradient of performance function is put into the stochastic approximation algorithm which recursively optimize the threshold value of the flow control model in a manufacturing system.

在分析过程中，对故障时间和工作时间的分布不做任何假设，利用自适应控制的思想，将整个样本路径依据一定的规则分成有限长的时间段，在每一段时间内用扰动分析估计目标函数的样本导数，然后用随机逼近算法渐进地估计流程控制问题中的最优阈值，从而实现了阈值的自适应控制。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。