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essential convergence相关的网络例句

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与 essential convergence 相关的网络例句 [注:此内容来源于网络,仅供参考]

This article is going to study the convergence and rate of convergence about nonhomogeneous Markov chains.

本文主要研究非齐次马氏链的收敛及收敛速度。

By using the Tadmor's convergence criteria for the difference approximation of the hyperbolic conservative e2 quation and introducing some adjusting parameter in the nonvanishing viscosity , some convergence properties are obtained.

Descripción :摘要:应用Tadmor 的关于双曲型守恒方程式差分逼近的收敛性判别法,对于若干差分逼近式,引入一些参数,只要在上机时适当调整此参数值,即可得到其收敛性。

Experimental results show that this algorithm can effectively avoid the premature convergence problem and improve the ability of searching global optima and the convergence speed.

实验数据表明,该算法有效地避免了早熟现象,显著地提高了全局寻优能力和收敛速度。

In order to speed up the convergence rate and improve the convergence accuracy of DRNN, Kalman and gradation algorithms have been proposed.

针对原作者提出的对角递归神经网络学习算法的缺陷,提出了修正学习算法。

The convergence order of the nodal values of the finite element solution exceeds the possible global convergence order.

有限元在节点处的值的收敛阶远远超过其可能的整体收敛阶。

The stability and convergence of the fully discrete solutions are proved and the convergence order is also given.

从数值实验上也验证了该算法的可行性和高效性,对非定常N-S方程提出了一种新的全离散TGM:空间离散用标准FEM,时间离散用Crank-Nicolson格式,证明了全离散解的稳定性与收敛性。给出了收敛阶。

There exists convergence speed is slow problem in neural networks. In order to solve the problem of convergence speed, Genetic Algorithm is used to optimize BP nerve network.

3由于神经网络存在收敛速度慢的问题,利用遗传算法对神经网络进行优化以解决神经网络收敛速度慢的问题,仿真结果表明了方法的有效性。

In order to expedite the speed of convergence, reserving the best individual do not take part in the inheritance of the next generation, thus increasing the speed of convergence and enhancing the efficiency to cut down the running time.

为了加快收敛速度,本文采取保留上一代最优个体不参与下一代遗传操作的自适应遗传算法,加快了收敛速度,提高了效率,减少了程序运行时间。

In order to improve the convergence of the back analysis of the rock-fill material parameters, four improved PSO methods have been proposed in this paper. Two are convergence improved PSO, and the others are the PSO based on multi-objective problem.

为提高标准微粒群算法在堆石坝坝料参数反演分析中的适应性,本文采用收敛性改进的微粒群算法和基于多目标问题的微粒群算法,详细阐述了算法的改进原理。

In order to expedite the speed of convergence, reserving the best individual do not take part in the next generation, thus increasing the speed of convergence and enhancing the efficiency to cut down the running time.

为了加快收敛速度,本文采取加入保留上一代最优个体不参与下一代的遗传操作,这样加快了收敛速度,提高了效率,减少机时。

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