弱收敛

关于Fuzzy弱收敛的完备性定理

On a complete theorem of fuzzy weak convergence

G2型空间上弱收敛叙列的性质

Weak convergence in the space g_2

Fuzzy测度的弱收敛性

Weak convergence of fuzzy measures

非时齐跳跃Markov过程序列到扩散过程的弱收敛

Weak convergence of the sequence of inhomogeneous jump Markov processes to diffusion processes

强平稳NA列的乘积和过程的弱收敛性

The Weak Convergence of Processes of Product Sums Generated by Strictly Stationary Negatively Associated Random Variables

N台并联Fork-Join排队网络的弱收敛与强逼近

Strong Approximation And Weak Convergence for N-union Station Fork-Join Queueing Network

HL与PRE优先排队系统弱收敛极限

Weak convergence of a queueing system for HL and pre priority disciplines

2-一致Banach空间中λ-严格伪压缩映像的弱收敛定理

Weak convergence theorems for λ - strict pseudo-contractions in 2-uniformly smooth Banach spaces

本文首先研究带有多个输出单元的BP神经网络的梯度学习算法，证明了误差函数在梯度算法所生成的权向量序列上的单调递减性，以及该算法的弱收敛性和强收敛性。

In this paper , we study the convergence of gradient algorithm for a three-layer BP neural network with multiple output units .

Banach空间中3类问题公共解的弱收敛定理

Weak Convergence Theorems for a Common Solution on Three Problems in a Banach Space

有序Banach空间中的拟弱收敛及其应用

Quasi_Weak Convergence with Applications in Ordered Banach Space

具有基的Banach空间弱收敛

Weak convergence of Banach space with bases

给出了Poisson随机测度序列弱收敛的充要条件。

For Poisson random measures , the sufficient and necessary condition of weak convergence is given .

关于Echelon空间无穷矩阵序列的弱收敛

On the Weak Convergence of Infinite Matrice Sequence in Echelon Space

在测度弱收敛的意义下，研究了一般概率测度μ的核估计μn，得到了它的渐近无偏性、强相合性及在给定条件下的收敛速度。

The kernel estimation μ n of general probability measure μ is studied . The asymptotic unbiasedness and the strong consistency and rate of convergence under given conditions are obtained .

Orlicz空间的弱收敛序列系数的计算实例

Some examples about the weakly convergent sequence coefficient in Orlicz Spaces

OrlicZ序列空间中的弱收敛与弱紧性

Weak convergence and weak compactness in sequence Orlicz Spaces

运用概率测度弱收敛理论研究了服务中断的PRE优先排队系统模型。

In this paper , we consider the queuing system for PRE priority discipline with service interruption by using the weak convergence theory of probability measure .

对一般型Fork－Join网络，提出一种新的研究方法，并针对某一类型Fork－Join网络给出了响应时间的弱收敛定理。

For general Fork Join network , a new method is introduced . As to given Fork Join network , a weak convergence theorem for response time is gotten .

用测度序列的支撑集与Essential点集的关系.刻划了一类紧半群上概率测度卷积幂序列的弱收敛性。

Let M be a probability measure on some compact semigroup S. The relation between the support of Mn and the Essential set of { Mn } are used to describe the week convergence of { Mn } .

作为应用，建立了临床试验中Markov链自适应设计的强相合性，重对数律和弱收敛。

As an application , the strong consistency , the law of the iterated logarithm and the weak convergence are established for the Markov chain adaptive designs in clinical trials .

假定F是一个由函数组成的集合.在这篇文章中，我们研究了指标集F上2阶的随机加权U－过程的条件弱收敛性质，导出了U－过程的随机加权逼近。

In this paper , we study the conditional weak convergence of random weighted U-processes of 2 order indexed by a class of functions and deduce the random weighting approximation of U-processes .

可以发现，在弱收敛意义下，给权函数μ（x）以好的而非平凡的乘积因子，1级相关函数R1n2（x）的极限行为不受干扰。

The authors find that in weak sense , the limit behavior of R ~ 1_ ( n2 )( x ) is not disturbed by appending a good nontrivial multiplicative factor to μ( x ) .

在独立而不同分布的随机截断下Kaplan-Meier估计在半直线上的弱收敛

The weak convergence of the Kaplan-Meier estimator on half line under the Independent but non-identical censoring

广义Bochner积分意义下测度的弱收敛

The generalized Bochner integral and the weak convergence of measures

通过证明非扩张型映射是满足定理条件（B）的拟非扩张型映射，得到一个推论即非扩张型映射不动点问题与平衡问题的公共解的迭代算法及算法的弱收敛性结果。

By proving that nonexpansive mappings are quasi-nonexpansive mappings satisfying condition ( B ) of the theorem , it is shown that the iterative sequences converge weakly to a common solution of the equilibrium problem and the fixed points problem of the nonexpansive mapping .

而在具有Frechet可微范数的一致凸Banach空间中证明了渐近正则性隐含半群轨道的弱收敛性。

While in a uniformly convex Banach space with a Frechet differentiable norm , the asymptotic regularity implies the weak convergence of the semigroup .

研究在Lp（0,2π），（p>1）空间内弱收敛的单调函数列，导出并证明其一组性质。

The monotone sequence of functions of weak convergence on the Lp ( 0 , 2 π), ( p > 1 ) space is studied and some of its properties are also proved .

同时在纯数学意义上拓展讨论，就IGA的一般收敛理论进行分析，证明了概率弱收敛、几乎处处弱收敛、渐进收敛等性质。另外，还分析了本文算法对常见的早熟问题的防治机理。

Meanwhile , extend discussions are carried out on the general convergence of IGA in the pure mathematical sense , IGA is proved to be weakly convergent in the sence of probability , weakly convergent a.

利用这一定理，证明了非负非时齐跳跃Markov过程序列弱收敛于BrownianExcursion和经验分布过程弱收敛于Bown桥。

The conclusion is applied to proved that the sequence of positive inhomogeneous jump Markov processes weakly converge to Brownian Excursion and that empirical processes weakly converge to Brownian bridge .