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global convergence相关的网络例句

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

The global convergence is established without requiring the existence of an accumulation point.

在不需要聚点存在的条件下获得了算法的全局收敛性。

With the accelerated progress of economic globalization and the increasing development of international capital markets, the advocation of international harmonization and even the global convergence of accounting standards is on the upsurge.

随着经济全球化进程的加快和国际资本市场的日益发展,会计准则的国际协调乃至全球趋同的呼声日益高涨。

The asymptotic global convergence of the proposed algorithm is analyzed by using the Lyapunov function approach.

通过Lyapunov函数方法分析了算法的渐近稳定性能,模拟结果验证了算法的有效性。

Under model-plant mismatch the robustly asymptotic stability and global convergence of the resulting closed-loop system are guaranteed by selecting proper prediction horizon.

同时给出了在模型失配情况下保证闭环系统全局渐近稳定的预报长度范围和模型失配上限值。

It is a global convergence method, so it can avoid the drawback of the Newton method. The main idea is to perturb the TV-norm functional term of the Euler-Lagrange equation so large that it can be solved by the Newton method when the observed image is an initial value, and we regard this equation as an auxiliary equation.

它的主要思想是将Euler-Lagrange方程中TV-范数做一个足够大的扰动,得到一个能用以观测图像z为初值的牛顿法求解的辅助方程,通过构造同伦方程将辅助方程和Euler-Lagrange方程联系起来。

Bionic optimization algorithms,simulating the structural characteristics,law of evolution,behavior patterns,and way of thinking of biological or biological population,are computing methods with self-organization,adaptive and self-learning abilities,as well as a good global convergence,parallelism,and robustness.

仿生优化算法是模拟生物或生物种群的结构特点、进化规律、行为模式和思维方法等形成的计算技术和方法,具有自组织、自适应和自我学习能力以及良好的全局收敛性、并行性和鲁棒性等特点。

In this paper a class of new conjugate gradient methods are presented, with which the global convergence with generalized Wolfe line search is proven.

本文提出一族新的共轭梯度法,证明了其在推广的Wolfe非精确线搜索条件下具有全局收敛性。

The two Armijo-type line searches proposed in Chapter 4 are shown to guarantee the global convergence of the class of conjugate gradient methods.

在第四章提出的两种Armijo型线搜索下,针对不同的线搜索参数分别讨论了共轭梯度法簇的全局收敛性。

Simulation results show that the algorithm has better global convergence ability and rapider convergence velocity through optimization tests of benchmark functions .

通过标准函数的优化试验,仿真结果表明该算法有较强的全局收敛能力和较快的收敛速度,以二级倒立摆为被控对象,利用ILGA优化T-S模糊神经网络控制器,实验证明了该方法具有稳态性好,响应速度快等优点。

And trust region type algorithm with memoryless technology not only satisfies new factorized quasi-Newton equation, but also saves much storage and algebraic operations than the original factorized quasi-Newton methods.we prove it posses the global convergence and the local superlinear convergence under some condition.

本文中利用无记忆技术产生的无记忆型信赖域算法不仅满足新分解牛顿方程,具有其所有的良好性质,而且比一般的分裂拟牛顿法节省存储空间,减少计算量。本文证明了在一定假设条件下该算法具有全局收敛性及局部超线性收敛性。

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