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1)  least squares sense
最小二乘意义上的
2)  generalized least square method
广义最小二乘法
1.
In this paper,the estimation of coefficient functions in a varying-coefficients EV model are constructed by using kernel smoothing and generalized least square method.
利用核函数法和广义最小二乘法给出了一般变系数EV模型系数参数的估计,得到了估计的强相合性。
2.
For the important role of mathematical model in data processing of dynamic calibration and combining the experimental data of dynamically calibrating acceleration sensor test system based on the Hopkinson bar,a generalized least square method of dynamic model is introduced.
针对数学模型在动态校准实验数据处理中的重要地位,结合Hopkinson杆对加速度传感器测试系统动态校准所得实验数据,介绍了一种基于广义最小二乘法的动态数学模型建立方法。
3)  least square generalized inverse
最小二乘广义逆
1.
Based on the relation between synergetic learning algorithms and generalized inverses,all the algorithms for computing least square generalized inverses can be considered as synergetic learning algorithms,which enriches the variety of synergetic learning algorithms considerably.
在讨论协同学习算法和广义逆关系的基础上,指出了最小二乘广义逆的求解算法都可以看作是协同学习算法,从而大大丰富了协同学习算法的种类。
4)  generalized least squares
广义最小二乘
1.
This article discusses the technology of least squares and generalized least squares,and compare them at last.
分析最小二乘(LS)和广义最小二乘(GLS)的原理,并对两种算法进行了比较。
2.
Based on nonlinear error equations of adjustment functions model,and making use of the theory of generalized least squares,this paper gives a new adjustment model by parameters model with initial data error.
基于平差模型的非线性函数误差方程,利用广义最小二乘原理,给出了一种新的顾及起算数据误差的参数平差模型,与将起算数据视为无误差的一般非线性测量参数平差解算,或虽考虑起算数据误差,但基于线性误差方程形式,将其与观测值一起进行整体平差的方法相比,在理论和方法上都有较大创新。
5)  generalized least square method
广义最小二乘方
6)  generalized least squares method
广义最小二乘法
1.
According to the characteristics of data collection,generalized least squares method was used to calibrate model.
根据采集数据的特点,采用广义最小二乘法标定模型。
补充资料:广义最小二乘法
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性质:广义最小二乘法可以处理随机干扰不是白噪声,而是可用自回归模型来表示的平稳随机过程的系统噪声。系统在这种有色噪声的作用下利用最小二乘法求出模型参数的方法称之为广义最小二乘法。它同样是无偏且一致收敛的。

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