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method of approximation相关的网络例句

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

Simulation results show that this identification method has excellent approximation ability, and system of adaptive inverse control has good robustness and performance.

仿真结果表明,该辨识方法具有良好的逼近能力且自适应逆控制系统具有良好的鲁棒性。

Considering the complexity of the problem, most researches were focused on the approximation method and many achievements have been obtained.

但是因为问题本身的复杂性,所以人们将研究的重点放在问题的近似计算上,并且取得了一系列的研究成果。

This paper presents an approximation method to display realistic pictures of numerical control machining simulation very quickly.

提出了一种快速显示数控加工仿真高质量真实感图形的近似方法。

However, the conventional dual wavelength stabilization technique uses the approximation method for the selection of the two wavelengths.

然而,传统的双波长稳定技术使用逼近方法的选择两波长。

In this dissertation we extend the application of pair approximation and moment method and build the particular model in background of sex ecology.

综上,本文一方面扩展了偶对近似和矩方法的应用范围,建立了不同背景下的具体模型。

This paper mainly involves the design of fuzzy control system based on the variable universe method and the design of adaptive fuzzy control system based on the universal approximation theorem of fuzzy system.

本论文主要涉及变论域模糊控制和基于模糊系统泛逼近理论的自适应模糊控制两个方面的内容。

The approximation theorem of the rough neural network is proved. Then the method is applied to the fault verification of fighter plane, the simulation results show that the rough neural network is efficient.

最后将此方法应用于歼击机的故障认定系统,仿真结果表示,此粗糙神经网络可以很好地对具有区间数的歼击机故障认定系统进行故障认定。

The random phase approximation method and the Feymann-Hellman theorem are used to calculate the seventh order glueball mass of the 2+1-D SU(2) lattice gauge theory.

采用无规相近似方法,用空心图作为试探波函数,利用Feymann Hellman定理计算七阶 2 + 1维SU(2 )格点规范场的胶球质量,在弱耦合区 1/g2 =1。

Now, meshfree method is an active topic of the recent research in the areas of computational science and approximation theory.

无网格方法是近几年来在计算科学和近似理论中的主要热点研究课题之一。

The advantage of proposed method is not only the more accurate approximation, but also the faster convergence speed.

这种方法的优点是不仅模型精度较高,而且学习算法收敛速度快。

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