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。
Orthogonal design and least squares wavelet support vector machine are integrated to optimize the technological parameters of hydro-mechanical deep drawing process using FEM.
在有限元模拟基础上，采用正交设计与最小二乘小波支持向量机对充液拉深过程参数优化进行了研究。
The T-S fuzzy model's parameters are identified by methods of fuzzy C mean(FCM) and orthogonal least-squares(OLS) online or otherwise.
模糊模型的前件和后件参数分别采用模糊C均值聚类（FCM）和正交最小二乘法（OLS）进行离线或在线辨识。
The least-squares curve fitting methods based on power functions and orthogonal functions are analyzed and compared.
对以幂函数族和以正交函数族为基底的最小二乘曲线拟合法作了对比分析。
A recursive formula for orthogonal projections and its application to the least squares problem are introduced in this paper.
本文介绍一个计算直交投影的递推公式，并介绍如何用其求解线性最小二乘问题。
A recursive formula for orthogonal projections and its application to the least squares problem are introduced in this paper.
本文介绍一个计算直交投影的递推公式，并介绍如何用其求解线性最小二乘问题。
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