The strong limit theorems on the arbitrary stochastic convergence for the harmonic mean of the random conditional probabilities in the random selection system is studied.
主要研究任意随机序列在随机选择系统中的随机条件概率其调和平均的强极限定理。
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。
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。
The strong convergence of the arbitrary stochastic sequences is studied.
研究任意随机变量序列的强收敛性。
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。
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。
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。
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。
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。
The results of simulation show that the algorithm can ensure the global convergence and stability of closed-loop systems in both deterministic and stochastic cases.
仿真实验的结果表明，无论是在确定性场合，还是在随机场合，该算法均能保证闭环系统大范围渐近收敛。
In this paper, we establish a class of local convergence theorems for partial sums of arbitrary stochastic adapted sequences which extend some new published results.
研究任意随机适应序列部分和的一类局部极限定理，推广了最近发表的几个结果。
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。
We also study stochastic integrals with respect to ff-valued semimartingale random measures and introduce the concept of vague convergence of H-valued semimartingale random measures.
本文引进了H -值半鞅测度，研究了其基本性质和与之相联系的随机积分。
In the present note we propose to deduce this result directly from the dominated convergence theorem of stochastic integrals, so our proof is much simpler than the original one.
本文用随机积分的控制收效定理直接推出了这一结果，从而大大简化了原证明。
With a stochastic frontier production function, the paper has analyzed technical efficiency change of China's service industry and its convergence with provincial panel data from 1990 to 2003.
本文使用1990 - 2003年省级面板数据，尝试性地运用随机前沿生产函数方法来考察中国服务业技术效率的变化状况，并进一步分析了中国服务业技术效率的收敛性。
Using the stochastic method, a blind adaptive algorithm can be given, and its convergence is analyzed.
由此，利用随机梯度方法，给出检测器的盲自适应算法，并且分析该算法的收敛性。
Only the Euler method is popular and efficient among the numerical methods for the stochastic delay differential equations, but its order of convergence is only 1/2.
随机延迟微分方程数值方法中欧拉方法是唯一较为成熟、有效的方法，但欧拉方法的收敛性差，其收敛阶仅为二分之一。
It is shown from the numerical results that the present stochastic finite element method is of the feature of rapid convergence, less C. P. U. time and fewer requirements of input data in...
算例结果表明：本文提出的随机有限元法较之现有的随机有限元法具有收敛快、机时省及对原始数据要求低的优点。
It is shown from the numerical results that the present stochastic finite element method is of the feature of rapid convergence, less C. P. U. time and fewer requirements of in...
算例结果表明：本文提出的随机有限元法较之现有的随机有限元法具有收敛快、机时省及对原始数据要求低的优点。
It is shown from the numerical results that the present stochastic finite element method is of the feature of rapid convergence, less C. P. U. time and fewer requirements of in...
算例结果表明：本文提出的随机有限元法较之现有的随机有限元法具有收敛快、机时省及对原始数据要求低的优点。
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