查询词典 monotone approximation

In simulation, with the same number of parameters, the new algorithm gets better approximation precision and less prediction error than those of the hinge-finding algorithm.

仿真实验表明，在参数个数相同的情况下，使用新模型的逼近算法在逼近精度与预测误差两方面都优于使用原模型。

The disadvantages of this method are analyzed. Based on the analyses, an improved training method for the self-organizing map neural network is proposed to reduce the approximation error.

在此基础上，进一步研究该方法的逼近性能，分析其两个不足之处，进而提出一种提高逼近性能的改进神经网络训练策略。

In the second chapter, we study the mixed finite element method of Oldroyd B type viscoelastic fluid flow model, and we give the existence and uniqueness of approximation solution and error bounded.

第二章讨论用混合有限元方法去研究Oldroyd B型流体流动问题的解的存在唯一性，并给出了逼近解的误差估计。

It shows that the optimal control given by Yoshisuke Misaka is approximate. Error of the approximation and scope of application of the approximate algorithm are discussed.

本文用极大值原理对文献[1]的带钢轧机厚度的前馈最优控制算式进行了推导，证明了美坂佳助所给出的前馈最优控制是近似的，讨论了这一近似的影响及其适用范围。

It can reduce the approximation error.

提出了基于补偿OFE的两步光流法。

ArcSin approximation with minimal error must be found.

在近似的 ArcSin 中，在最小误差允许范围内，肯定可以找到这些值。

Furthermore, the adaptive compensation term of the optimal approximation error was introduced to minimize the effects of modeling error.

该方案通过监督控制器保证闭环系统所有信号有界，并引入综合误差的自适应补偿项来消除建模误差的影响。

In this method,the main control law is approximated by an adaptive fuzzy system directly;the approximation error and disturbing torqu...

在控制律的设计中，将自适应模糊系统直接用作系统的主控制律，利用扩张状态观测器对模糊系统的逼近误差和内外干扰力矩进行观测并予以实时补偿。仿真结果表明了方法的有效性。

To reduce the distortion of this,the beginning of this article proposes an effective allocation model based on the performance optimization method;To achieve such a rapid and low complexity of the distribution,and it proposes a semiregular mesh geometry coding related to the reconstruction of the mean square error of approximation.

为了降低这种失真，开始部分提出了一种有效的基于位分配模型的性能优化方法；为了实现这种快速和低复杂度的分配方法，提出了和半规则网格几何编码相关的重建均方误差的近似方法。

This class, taught by the guest speaker, is devoted to the study of the approximation error, and some of its general properties.

这堂课将由授课的特别来宾讲解近似误差原理及其一般特性。

Warden: That's a beautiful dog, but don't bring her again.

那是条漂亮的狗，但是不要再把她带来了。

You get up in the morning – no hangover!

你第二天早上起来的时候—不会宿醉！