stochastic convergence
英 [stə'kæstɪk kənˈvɜːdʒəns]
美 [stə'kæstɪk kənˈvɜːrdʒəns]
网络 随机收敛; 随机性趋同; 来对随机收敛
双语例句
- The paper studied the convergence problems on partial sums of adapted stochastic sequence with submartingale convergence theorem, stopping time and conditional three series theorem.
利用下鞅收敛定理、停时和条件三级数定理研究适应随机变量序列部分和的收敛问题。 - In this paper we study the stochastic stability and convergence conditions of a class of asynchronous large_scale systems with random state transition.
本文针对一类具有随机状态转移概率的异步大系统，研究了该类异步大系统的随机收敛性及随机稳定性条件。 - This paper gives reasoning process of normal stochastic gradient, and discusses the convergence properties of predic-tor coefficient and the predictor properties affected by lattice predictor sta-ges.
文中给出了归一化算法的推导，讨论了预测器系数的收敛特性以及格型预测器级数对预测器的影响。 - The Euler scheme for stochastic differential equations is first brought forward, then the Euler scheme with variable step-length for stochastic differential equations is presented, and their convergence and continuous dependence on initial value are discussed.
首先给出了线性随机微分方程的欧拉格式算法，然后给出了非线性随机微分方程变步长的欧拉格式算法，接着讨论了其对初值的连续依赖性和收敛性。 - First the CTLS identification method for stochastic continuous systems and its convergence results are reviewed, then two numerical realization methods for the CTLS identification based on the numerical integral technique, and Euler method and Runge-Kutta method for ordinary differential equation are given.
首先回顾了随机连续系统的CTLS辨识法和理论分析结果，然后基于数值积分技术和求解常微分方程的数值解的欧拉法和龙格－库塔法，给出了CTLS法的两种数值实现方法。 - Based on stochastic process theory, the bounded convergence of forgetting factor least square algorithm ( FFLS for short) is studied and the upper bound of the parameter tracking error is given.
利用随机过程理论研究了遗忘因子最小二乘法（FFLS）的有界收敛性，给出了参数估计误差的上界。 - A modified dynamic stochastic approximation algorithm is presented and which Convergence in Cesaro average sense is proved.
提出了修正动态随机逼近算法，并证明它在C？aro意义下的（a，？） - A stochastic search-based global convergence algorithm for constrained optimization problems
基于随机搜索的一个约束优化问题的全局收敛算法 - A Self-tuning Feedforward Controller for Stochastic Multivariable Systems with an Arbitrary Interactor Matrix and Global Convergence Analysis
一种自校正前馈控制器及其全局收敛性分析&用于具有任意交互矩阵的随机多变量系统 - When adaptive control systems is described by the controlled AR model, the parameter is estimated by stochastic gradient algorithms. Martingales convergence theorem is applied to analyze the convergence of algorithms, and the result show that the parameter estimation error is bounded uniformly.
本文针对系统为受控AR模型，其参数估计采用随机梯度算法时，用鞅收敛定理的推广形式分析了它的收敛性，得到了参数估计误差一致有界的结果。 - Based on the state space analysis, the time series analysis method for identification of the stochastic continuous signals, proved as consistent convergence, is given.
基于状态空间分析，给出了连续随机信号建模的时间序列分析方法，并证明了参数估计的一致收敛性。 - Stochastic Process Based RIP Network Rout Convergence
基于随机过程的RIP网络路由收敛探讨 - Are China's Regional Economies Converging?& A Study of Stochastic Convergence and β Convergence Based on Time Series
中国区域经济增长收敛吗？&基于时序列的随机收敛和收敛研究 - A kind of stochastic programming is discussed. The convergence of the optimal value and optimal solution of the stochastic programming are given as the function sequence is epi-convergence and the random variable sequence is square convergence.
主要讨论了一类随机规划在函数序列上图收敛和随机变量序列均方收敛意义下，该类随机规划的最优解和最优值的收敛情况。 - A Stochastic Tabu Search Strategy and Study on Its Global Convergence
一类随机Tabu搜索策略及其全局收敛性研究 - Based on the stochastic particle swarm optimization algorithm that guarantees global convergence, an improved stochastic particle swarm optimization algorithm& DB-SPSO is proposed.
以保证全局收敛的随机微粒群算法为基础，文章提出了一种双群体随机微粒群算法&DB-SPSO。 - Here, general limiting behaviours are discussed when stochastic sequence has no convergence, some classical results are also improved.
本文讨论了随机序列不具有收敛性时的一般极限行为，一些经典的结果被改进。 - In very general case we discuss the relations between the essential convergence, stochastic convergence and the a.
本文在最一般的情况下讨论了本质收敛、随机收敛和a。 - Convergence in this paper, and prove that essential convergence implies stochastic convergence and if a process { x_1}_J essentially converges to x, then it has a modification which is separable in some sense a.
收敛三者之间的关系，证明了本质收敛蕴含着随机收敛，且本质收敛的过程必有一个等价的、具有某种意义的可分性修正，它a。 - Stochastic Convergence Properties of Two-parameter Adaptive Lattice Filters
双参数自适应格形滤波器的随机收敛特性 - An Ample Terms of Stochastic Series Strong Convergence
随机级数强收敛的&充分条件 - Kalman filter used in linear discrete stochastic system has good convergence and the ability to remove high frequency noises.
卡尔曼滤波用于线性离散随机系统具有非常好的收敛性和滤除高频噪声的能力。 - However, the weakness of the stochastic algorithm is the slow convergence speed. Therefore, how to improve the convergence speed of the stochastic algorithm is the main task in the research of electromagnetic inverse problems.
但是随机类优化算法的弱点是收敛速度太慢，故如何改进这类算法以提高其收敛速度，是当前电磁场逆问题优化算法研究的热点。 - And then, we present an approximation method for solving this probabilistic constrained stochastic programming, and prove certain convergence of the method under some conditions.
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。 - Research on the Stochastic Convergence of China's Regional Economic Growth
我国地区经济增长的随机性趋同研究&基于综列数据单位根检验 - Based on the theory of stochastic processes, the almost sure convergence of the proposed algorithm is proved under certain conditions by introducing a martingale approach into traditional Markov Chain analysis.
然后借助于随机过程理论，在传统的Markov链分析中运用鞅理论，证明了云滴算法在一定条件下几乎肯定强收敛。 - The results of cross-section regression, panel data analysis and unit root testing in the same time regional group entirely show that there exist Cross-section and Stochastic Time Club Convergence in the three time regional groups and this conclusion is very steady.
在同一时间区域组中进行的横截面回归、面板数据分析及单位根检验表明，3个时间区域组内均存在截面型及随机型时间俱乐部趋同，而且，这一结论是相当稳健的。 - According to the convergence criteria of stochastic optimization, global convergence of artificial bee colony algorithm is analyzed.
根据随机优化的收敛准则，分析了人工蜂群算法的全局收敛性。 - Assume that the system is persistently exciting, and the noise term is uncorrelated with zero mean, by applying the stochastic process theory and the martingale convergence theorem, we can prove the convergence properties of stochastic gradient algorithm.
在持续激励条件下，利用随机过程理论和鞅收敛定理证明了随机梯度算法的收敛性，并用仿真例子说明了该算法的有效性。