根据采集数据的特点，采用广义最小二乘法标定模型。
According to the characteristics of data collection, generalized least squares method was used to calibrate model.
这样广义最小二乘法，偏差校正法及伪线性法的离线算法便很容易地以这同一准则导出。
Off-line algorithms of GLS, BCLS and PLR can be derived easily from the same criterion.
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。
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.
运用广义最小二乘法研究了一类半线性模型中的参数、函数的估计量问题，并证得估计量的一致性结果。
The estimators problem of parameters and functions in Semi-Linear Model were studied by Generalized Least Square method. The agreement between parameters and functional estimators was then presented.
以广义移动最小二乘法为理论基础，将同时考虑挠度和转角双变量的无单元法运用于欧拉梁的动力特性计算与分析。
Based on the generalized moving least square method, a new Element-Free Galerkin (EFG) double-variable approximation is applied to dynamic characteristic calculation and analysis of Euler beam.
研究了广义预测控制的模型反馈校正方法，将递推极大似然法和遗忘因子递推最小二乘法结合起来，给出了一种改进的递推极大似然参数估计算法。
Model feedback correction algorithm of GPC has Benn studied. Combining the RML and forgetting factor RLS, an improved RML parameter estimation method has been given.
研究了广义预测控制的模型反馈校正方法，将递推极大似然法和遗忘因子递推最小二乘法结合起来，给出了一种改进的递推极大似然参数估计算法。
Model feedback correction algorithm of GPC has Benn studied. Combining the RML and forgetting factor RLS, an improved RML parameter estimation method has been given.
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