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stochastic approximation相关的网络例句

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与 stochastic approximation 相关的网络例句 [注:此内容来源于网络,仅供参考]

According to the study of the stochastic approximation theory, a new optimization method of yield is given.

在对随机逼近理论进行研究的基础上,提出了一种新的合格率优化算法。

Using the stochastic approximation theory, a rigorous analysis of the convergence properties of the algorithm was presented.

然后,采用随机逼近理论,严格分析了算法的收敛性。

In general, stochastic approximation is guaranteed to converge.

在一般的情况下,随机近似方法的收敛效果是受到肯定的。

Based on the second PA derivative of mean steady-state system time with respect to a parameter of the service time distribution, we give the second-order stochastic approximation algorithm.

当最优化问题过于复杂,无法使用解析方法分析时,一个可行的方法是在参数的取值范围内用逐次逼近法找到最优点;在使用此类优化算法时,目标函数的样本导数是必需的。

Stochastic approximation which is used for parameter estimation is an iterative algorithm for random environments.

中文摘要随机近似方法是一个递回式的演算方法,在随机的环境下作参数估计。

In this thesis, we develop two new and original hybrid correspondence algorithm using α-β-γ filter and stochastic approximation respectively.

作者在本论文中,提出了两种新的分别基于α-β-γ滤波和随机近似技术的混和特征点对应算法。

Then, the stochastic approximation method is applied to determine the optimal control parameters.

应用扰动分析法得到性能指标对控制参数的灵敏度估计,并证明了估计的无偏性,又利用随机逼近技术优化控制参数。

1Because some conditions can not be fulfilled,one can not applythe known results in stochastic approximation directly.

1由于有些条件不能满足,现有的随机逼近结果无法直接利用,我们巧妙地克服了这一困难,在较弱的条件(文中H.4.1—H.4.3)下,给出了这类算法的严格收敛性分析(定理4.3.2,定理4.3.3)。

For this, another tool-simultaneous perturbation stochastic approximation for solving optimization problems is introduced. In fact, SPSA is a simple, easily implemented and efficient stochastic approximation algorithm.

本文将 SPSA算法作为一种快速局部优化方法并将其和遗传算法的整体搜索策略结合起来,提出一种解决多目标优化问题的随机梯度遗传算法,对新算法的执行策略进行了认真的设计。

In order to achieve the stochastic inversion scheme, the stochastic approximation expectation maximum algorithm is introduced, the inversion at each iteration, the automatic modification of the statistical parameters to speed up the computing speed, improves accuracy and stability of the inversion.

为了实现所提出的随机反演理论,引入了随机近似最大期望算法,在反演的每次迭代后,自动修改各统计参数,加快了计算速度,提高了反演精度和稳定性。

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