Estimation of GM (1, 1) model parameter usually adopts the least square criterion, but test of model precision often USES average relative error criterion.
估计GM(1,1)模型中的参数通常采用最小二乘准则，而在模型精度检验时又常采用平均相对误差。
The total income of national economy and the amount of population are predicted with second-degree moving model and with the principle of least mean square fit error determining designated value n.
利用二次移动平均模型，引入均方拟合误差最小的原理确定出时段数n，对国民经济总收入、人口数量等项目进行了预测。
The mathematical model of least square evaluation for the radial circular run-out error is established and the high level language program for data processing is designed in this paper.
建立了径向圆跳动误差最小二乘评定数学模型，并编制了高级语言数据处理程序。
A kind of generalized least square error robust self tuning controller algorithm with model reference is proposed.
本文提出一种具有参考模型的广义最小方差鲁棒自校正控制算法。
Based on the mathematical model of circularity error, the least square method, minimum envelope zone method and harmonic analysis method for evaluating the circularity error are treated.
本文根据圆度误差的数学模型，论述了评定圆度误差的最小二乘法、最小区域法和谐波分析法。
Firstly, the error of fit must be defined for nonlinear least-square fitting of generalized geometry model. Then the nonlinear optimization algorithm can be used to obtain the optimum solution.
对于一般几何模型的非线性最小均方误差拟合，首先必须定义拟合误差，然后采用非线性最优化方法求解最小误差意义下的最优解。
The mathematical model to evaluate the tooth profile error of the sector by using the minimum least square method and the minimum zone method is given.
给出了齿扇齿形误差的最小二乘评定与最小区域评定的数学模型；
With the optimization criterion of least square error between the measured creep value and theoretical creep value, microevolution algorithm inverse the creep model parameters directly.
算法以实测蠕变值与理论计算值之间的最小二乘误差为优化准则函数，直接反演计算蠕变模型参数。
Then, the whitened dimension-reduced data vector as a single user model is looked, the Iterative Least Squares (ILS) detection and Minimum Mean Square Error (MMSE) detection are researched.
将白化滤波后的降维数据矢量看作是单用户的系统，研究了迭代最小二乘(ils)检测和最小均方误差(MMSE)检测。
In first the linear regression model resulted from least square method is presented and its disadvantage is analyse, great forecasting error exists when extreme abnormal case exists.
本文先介绍了用最小二乘法进行线性回归预测的方法，并分析了其不足，即当存在着极端的异常情况时，往往存在着较大的预测误差。
In first the linear regression model resulted from least square method is presented and its disadvantage is analyse, great forecasting error exists when extreme abnormal case exists.
本文先介绍了用最小二乘法进行线性回归预测的方法，并分析了其不足，即当存在着极端的异常情况时，往往存在着较大的预测误差。
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