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stable convergence相关的网络例句

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

To solve convergence rate problems of often used DFP and BFCS methods, the stable construction of inverse Hassian matrix are presented.

提出一种有效的U-D分解DFP和BFGS算法。

Moreover, our method presents the exponential convergence rate of the neural networks to stable equilibrium point.

此外,我们的方法还估计出了神经网络指数收敛到平衡点的速度。

Here pis 1 or 2.In chapter 8. we extend the Runge-Kutta methods to variable delay differentialalgebraic system. It is proved that if the Runge-Kutta method which is algebraicallystable and diagonally stable is consistent with order p , the extended Runge-Kuttamethod with Lagrange interpolation procedure is D_A-convergence with order M. HereM=min{p, u + q + 1 }, and u + q is the degree of Lagrange interpolation polynomial.

第八章将求解常微分方程的Runge-Kutta方法改造后用于求解变延迟微分代数系统,并且证明如果代数稳定且对角稳定的Runge-Kutta方法对于常微分方程初值问题在经典意义下是p阶相容的,那么具有Lagrange插值过程的该方法是M阶D_A-收敛的,M=min{p,u+q+1},u+q为Lagrange插值多项式的次数。

The reformed BP has a fast and stable speed of convergence, and easy to get away from local minimum .

改进后的BP网络具有收敛速度快、稳定、易于跳出局部极小值的特点。

Computer simulations show that the two algorithms have good convergence and high stable output signal-interference rate and tracking capability.

计算机仿真表明了两种算法具有优良的收敛性和较高的稳态输出信干比以及在时变信道中良好的跟踪特性。

A processing model for data flow and for promotion of convergence on stable,reusable flow solutions,when using process elements is built.

为了分析服务水平协议下的服务质量,引出了客户分类管理,并提出由业务过程元素、数据流及其关联构建业务模型的方法,实现集中共享的流程构建方案。

If the neighborhood of equation solution is solvable and meets the point- by-point Lipschitz condition, stable boundary could be obtained as the convergence of the difference method is realized, and thus the stability is ensured.

方程解的邻近如果可解并具备逐点Lipschitz条件,则差分法收敛必有稳定界存在,从而差分格式收敛性保证其稳定性,因此可以放弃线性这一重要条件。

The improved BP is fast and stable in convergence, and easy to pick out partial minimum.

改进后的BP网络具有收敛速度快、稳定、易于跳出局部极小值的特点。

The simulation showed that the algorithm is characterized by high precision, quick convergence and stable property.

仿真结果表明,该算法求解精度高,收敛速度快,且稳定性好。

Computer simulation results show that the algorithm is relatively simple genetic algorithm for for solving high precision, fast convergence and stable performance is good.

计算机仿真结果显示,该算法较简单遗传算法求解精度高,收敛速度快且稳定性能好。

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