An adaptive inverse control method based on Least Squares(LS) support vector machine is studied in this paper. 本文主要针对基于最小二乘支持向量机的自适应逆控制方法进行了研究。
This paper gives weighted least squares estimate and the method to choose optimum weighted function for linear regression model. 给出了线性回归模型中的加权最小二乘估计以及最优权数的选择。
We often estimate the return model parameter by ordinary least squares and maximum likelihood. 对回归模型进行参数估计时,常用的两种重要方法是普通最小二乘法(LS)和最大似然法。
This paper mainly discusses the least squares problem of complex symmetric matrices on a linear manifold. 本文主要讨论了线性流形上复对称矩阵的最小二乘问题。
Generalized Least Squares(LS) were used to estimate the traditional model and the linear time model. 常规最小二乘法(LS)用于估算传统模型和线性时间模型;