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。
A novel method named Fuzzy Least Squares method of System Identification is proposed for processing the data got from measurements with identical precision.
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。
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.
文中采用计算机自适应的最小二乘优化方法实现模糊诊断系统隶属度函数的机器自学习功能。
The least square method of computer adaptation is applied to complete the function of computer self-learning of membership function in fuzzy diagnosis system.
通常的参数估计方法如加权最小二乘，只能给出浮点解，包括模糊度向量也只是实数解。
Through standard parameter estimation like weighted least squares only the "floating solution" - including the vector of ambiguity-can be given.
通过改进模糊聚类方法确定模糊模型的前件结构，并对模糊推理关系矩阵进行正交最小二乘估计。
The premise structure of fuzzy model is confirmed by the improved fuzzy clustering, and fuzzy relation matrix of fuzzy model is confirmed by orthogonal least square.
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 fuzzy identification method for nonlinear systems is suggested based on a new fuzzy model and weighted recursive least square algorithm (WRLSA).
首先，通过模糊统计和最小二乘回归建立了决定路面使用性能好坏的车辙、平整度等五种因素的隶属函数集；
Firstly, by means of fuzzy statistics membership function sets are established for five factors affecting rut, evenness of pavement etc.
针对石油化工过程的特点，提出一种改进的模糊部分最小二乘的建模算法。
A modified fuzzy partial least squares (PLS) model is presented for the characteristics of petrochemical process.
另外，为了克服递推最小二乘出现的误差积累、传递现象，采用基于矩阵ud分解的递推最小二乘方法确定模糊模型的结论参数，从而实现模糊模型的结构和参数优化。
In addition, the recursive least square based on matrix UD decomposition is used to confirm the conclusion parameters of fuzzy model for the sake of accumulating and transferring o.
分别用递推最小二乘算法、基本蚁群算法与混合蚁群算法训练模糊系统，混合蚁群算法的收敛效果优于递推最小二乘算法与基本蚁群算法。
The convergence error of hybrid ant colony algorithm is small in comparison to that of recursive least square algorithm and basic ant colony algorithm.
分别用递推最小二乘算法、基本蚁群算法与混合蚁群算法训练模糊系统，混合蚁群算法的收敛效果优于递推最小二乘算法与基本蚁群算法。
The convergence error of hybrid ant colony algorithm is small in comparison to that of recursive least square algorithm and basic ant colony algorithm.
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