1) experimental variance function based on weight
加权实验变异函数
2) real variable weight function
实变量权函数
1.
This paper discusses the construction of real variable weight function,and investigates its property.
在变系数线性EV模型的参数估计中实变量权函数起着特别重要的作用,本文讨论实变量权函数的构造,研究它们具有的性质。
3) experimental variation function
实验变差函数
1.
The method used a octant-search approach and experimental variation function to reduce the cluster effects and search distance,and adopted Java3D as virtual 3D-visualization environment so that the generated three-dimensional raster data could be showed in the environment.
针对在实际生产过程中采样点数据之间的相关性对生成的三维栅格数据影响的问题,使用了八分域搜索算法以及实验变差函数来改进原有的距离反比加权算法。
4) Weighted Variation Coefficient
加权变异系数
1.
The author attempts to decompose China′s regional dispari ty into regional, industrial and rural urban components with the help of Gini coefficient, Theil indices and weighted variation coefficient The empirical findings shed light on the direct factors that affect the change of regional disparity, and provide important policies to narrow the regional disparit
利用吉尼系数、泰尔指数和加权变异系数三种新分解方法，分别对中国地区差距进行了区域分解、产业分解和城乡分解，寻找出影响地区差距变动的直接因素，为缩小地区差距提供了政策性结论。
5) weighting function
加权函数
1.
The methods used in NMR logging include the T 2 cut?off value, T 2 spectra BVI and BVI weighting function.
NMR测井确定BVI方法有T2 截止值方法 ,频谱BVI(简称SBVI)方法和BVI加权函数方法。
2.
A summarization of the selection methods for the weighting function matrix in mixed sensitivity H_∞control is presented in the paper.
总结了混合灵敏度H∞控制算法中加权函数阵的选择方法,提出了一种新的选择加权函数矩阵的思想。
3.
A practical selection of weighting function and the order reduction of the controller are presented.
提出了实用的加权函数选择方法和一种控制器降阶方法。
6) weighting functions
加权函数
1.
To prevent disturbance which caused by parametric uncertainties and load torque disturbance, this paper converted control problem of permanent magnet synchronous motor to H∞ mixed sensitivity problem through choosing suitable weighting functions.
针对永磁同步电机伺服系统中存在的模型参数不确定性和负载扰动问题,引入H∞混合灵敏度设计方法设计了H∞鲁棒控制器,并讨论了加权函数的选择。
2.
Aiming at the delay and no specific selection of weighting functions, a new algorithm is brought forward.
本文依据H∞控制理论，结合H∞混合灵敏度加权函数的选择，提出了一种<WP=3>SISO系统基于多目标遗传算法（MOGAS）的H∞混合灵敏度加权函数优化控制设计方法。
3.
Based on the main performance index required,the weighting functions are optimized by genetic algorithm(GA)and H∞ controller with good performance is obtained.
为了使系统达到给定的性能指标要求,采用遗传算法对加权函数的选择进行了优化,从而获得了性能优化的H∞控制器。
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参考词条