查询词典 weak convergence

In an appropriate condition,the βn,σn of their asymptotic normalities and the gn of optimal weak convergence rate were obtained.

在适当的条件下，得到^βn，^nσ的渐近正态性和^gn最优弱收敛速度

Genetic arithmetic is a evolutional algorithm with stochastic search technology, it is also has the shortcomings with the prematurity ,slow on the convergence rate ,weak in the ability of local search ,which is appeared on the process of utilizing.

遗传算法是一种具有随机搜索技术的进化算法，但在运用过程中出现早熟、收敛速度慢、局部搜索能力差的缺点。

Compared with the PID parameter optimization method using the genetic algorithm, the proposed method, which inherits the advantages of the genetic algorithm and the simulated annealing algorithm, can overcome some disadvantages such as premature convergence, weak local searching ability and low computing efficiency.

该方法继承了遗传算法和模拟退火算法这两者的优点，与采用常规遗传算法的PID参数整定方法相比较，这种方法在克服解早熟、增强局部寻优能力和提高计算效率等方面都有明显的改进。

The weak moisture convergence at the low level simulated by the Zhang-McFarlane scheme is not strong enough to maintain the structure and the eastward propagation of the oscillation.

Zhang-McFarlane（1995年）对流方案模拟的MJO振幅非常弱，而且缺乏连续的传播特征，在MJO的演变过程中弱的低层水汽辐合使MJO难以维持和传播。

By estimates of the spectral gap, Sobolev inequality and the weak convergence theory of stochastic process, we obtain that the annealing process converges in probability to a neighbourhood of the global minimal set of the potential function.

利用谱隙估计和Sobolev不等式方法以及随机过程的弱收敛理论我们得到这种退火过程依概率收敛到势函数的全局最小点附近。

An improved real-code genetic algorithm is designed with different cross, selection and variation operators, aiming at overcoming its inherent shortcomings of premature, dead state convergence and weak mountain climbing during function optimization.

针对实数编码在进行数值优化时固有的过早收敛、停滞现象和弱的爬山能力等缺点，通过设计不同的交叉、变异算子，提出了一种改进的实数编码遗传算法。

But the weak law of large numbers and the complete convergence for arrays of rowwiseρ*-mixing random variables have not been reported.

但是关于它所生成的随机变量组列的弱大数定律及完全收敛性还未见报道，本章讨论这方面的内容，仅在条件ρ~*(1)＜1，而对混合速度不作任何限制下，得到了：定理0.1.1设{X_；1≤k≤n，n≥1}是行内随机变量为ρ~*混合且ρ~*(1)＜1的随机变量组列。

There are some disadvantages in BP algorithm, such as low rate of convergence, easily falling into local minimum point and weak global search capability. In order to settle these problems, a genetic algorithm was used to train BP neural network to replace classical learning algorithms. An evolutionary neural network learning algorithm was founded.

针对BP算法存在收敛速度慢、容易陷入局部极小值及全局搜索能力弱等缺陷，采用遗传算法训练BP神经网络，取代了一些传统的学习算法，设计了基于进化神经网络的学习算法。

Focusing on some disadvantages in standard BP algorithm, such as low convergence rate, easily falling into local minimum point and weak global search capability, Genetic algorithm is used to optimal the connection weight of BP Algorithm in this paper, and construct a GA-BP algorithm of evolutionary neural network, and the algorithm is applied to the control of BLDCM speed adjusting system.

针对标准BP算法存在全局搜索能力弱和易陷入局部极小点等缺点，本文将遗传算法与BP神经网络相结合，构造了一种新的进化神经网络GA-BP算法，并将该算法应用于无刷直流电机调速系统的控制，仿真结果表明，与传统的PI控制系统相比，该算法得出的电机控制曲线几乎无超调，与基于BP算法的速度控制系统相比较，具有收敛速度快、不易陷入局部极小的优点。

Focusing on the disadvantages in the BP neural network such as low convergence rate,easily falling into local minimum point and weak global search capability,a new method that used GA to train BP neural networks to gain best weights was presented.

针对传统的BP算法存在收敛速度比较慢、容易陷入局部极小值以及全局搜索能力弱等缺陷，提出了神经网络与遗传算法。结合的方法，采用遗传算法。练BP神经网络，优化网络权值。

Panorama Many people are dancing in a large sitting room.

在一个大客厅里，许多人在跳舞。

We fully understand how a microwave oven cooks food, it is first necessary to talk ...

我们充分理解一个微波炉煮的食物，这是首先要谈。。。