Modified Fuzzy Least Squares 修正的模糊最小平方法
fuzzy partial least squares 模糊部分最小二乘
fast fuzzy orthogonal least squares 快速模糊正交最小二乘
A novel method named Fuzzy Least Squares method of System Identification is proposed for processing the data got from measurements with identical precision.
提出了一种新的系统辨识的方法——模糊最小二乘系统辨识法。
As one of the main estimation methods, fuzzy least squares approach is appealing because it corresponds, to some extend, to the well known statistical regression analysis.
作为主要估计方法之一的模糊最小二乘估计以其与统计最小二乘估计的密切联系更受到人们的重视。
T S fuzzy model is constructed for nonlinear system in this paper, and orthogonal least squares (OLS) method is used to identify the parameters of fuzzy ruler consequents.
对非线性系统建立T-S模糊模型，并用正交最小二乘法（ OLS）对模糊规则的后件参数进行辨识。
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