...化的可以继续 用OLS等线性回归模型适用的方法进行估计，不能被线 性化的模型就可以用非线性最小二乘法（Nonlinear Least Square，NLS）进行估计。
基于1个网页-相关网页
详细叙述了用能量法对建模的非线性方程进行线性化，并且利用总体最小二乘法对此类方程进行参数辨识。
A scheme utilizing is presented that energy method linearizes nonlinear equations which are acquired by modeling and the equations are solved by the total least squares.
对系统采集的实验数据用曲线拟合的最小二乘法进行处理，完成实验数据的非线性矫正。
The experiment data collected by system is be disposed by Least square method that the contours fit, which adjust the non-linearity of experiment data.
通过引入微处理方法和迭代算法，我们可以用最小二乘法求解非线性方程逐步由一系列线性方程组。
By introducing the micro-disposal method and the iterative algorithm, we can use the least squares approach to solve the nonlinear equations progressively by a series of linear equations.
应用推荐