A fuzzy identification method for nonlinear systems is suggested based on a new fuzzy model and weighted recursive least square algorithm (WRLSA).
提出一种基于新的模糊模型和加权递推最小二乘算法(WRLSA)的非线性系统模糊辨识方法。
A new algorithm called the weighted least square discrete parameterization (WLSDP) is presented for the parameterization of triangular meshes over a convex planar region.
提出了一种新的曲面三角网格模型参数化算法——加权最小二乘离散参数化方法(WLSDP)。
A model for forecasting SO2 pollution in atmosphere was developed and a weighted real-time least square algorithm was applied to the real-time identification of the model.
考虑了影响大气扩散的主要气象因素及其它因素，提出了一个大气so_2污染预测模型，并运用加权实时最小二乘算法对模型进行实时辨识。
It is shown in this paper that the Least-Mean-Square algorithm cannot minimize the mean square error, and that it is actually a kind of weighted Least-Square algorithm.
本文指出最小均方算法并不能使均方误差最小，证明了最小均方算法实际上是一种加权最小二乘算法。
It is shown in this paper that the Least-Mean-Square algorithm cannot minimize the mean square error, and that it is actually a kind of weighted Least-Square algorithm.
本文指出最小均方算法并不能使均方误差最小，证明了最小均方算法实际上是一种加权最小二乘算法。
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