Three programs, i. e., stochastic gradient (SG), fast Kalman (FK) and recursive least square (RLS), are used.
应用了三种程序，它们分别是随机梯度(SG)、快速卡尔曼滤波(FK)和递归最小二乘(rls)。
In this paper, on the base of the recursive stochastic gradient method, a kind of adaptive control algorithm of the non-linear system has been given.
本文以递推随机梯度算法为基础，给出了寻求一类非线性系统的自适应控制律的方法。
An efficient and practical stochastic gradient algorithm for calculating structural reliability index is presented in this paper on basis of geometrical principle of reliability index.
提出了一种基于几何原理求解结构可靠指标的高效实用算法，即随机梯度算法。
The hierarchical identification principle is stated, and the hierarchical stochastic gradient (HSG) algorithm for the transfer function matrix (TFM) model for multivariable systems is presented.
阐述了递阶辨识原理，提出了传递函数阵模型参数的递阶随机梯度(hsg)辨识方法。
This paper researches the application of the stochastic parallel gradient descent (SPGD) optimization algorithm on the beam cleanup system.
就随机并行梯度下降(SPGD)最优化算法在光束净化系统中的应用展开研究。
Based on building up a model of echo canceller, the convergence of gradient-type stochastic adjustment algorithm of an adaptive filter under the mean-squared error criterion is discussed.
在建立回波抵消器模型的基础上，按最小均方误差准则，导出了自适应滤波器抽头的统计梯度算法和抽头调节的收敛公式。
Based on stochastic parallel gradient descent (SPGD) control algorithm, an adaptive optics test-bed without a wave-front sensor was built with a 32-element deformable mirror and a CCD.
基于随机并行梯度下降（SPGD）算法，32单元变形镜，CCD成像器件等建立了无波前传感自适应光学系统实验平台。
The gradient optimization algorithm based on the stochastic finite element was adopted to analyze the reliability of the frame with stochastic parameters.
基于随机有限元的梯度优化算法引入拥有随机参数的框架可靠度分析。
Then by utilizing the features of this model an online optimization algorithm that combines policy gradient estimation and stochastic approximation is derived.
然后利用这种模式的特点，在线优化算法相结合的策略梯度估计及随机逼近而得。
The stochastic parallel gradient descent (SPGD) algorithm can optimize the system performance indexes directly to correct wavefront aberration.
随机并行梯度下降(SPGD)算法可以对系统性能指标直接优化来校正畸变波前。
The stochastic parallel gradient descent (SPGD) algorithm can optimize the system performance indexes directly to correct wavefront aberration.
随机并行梯度下降(SPGD)算法可以对系统性能指标直接优化来校正畸变波前。
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