引入模型误差的非线性回归模型

The Nonlinear Regression Model Introduced by Model Error

在第一类非线性回归模型中,经常出现病态问题,它严重影响计算结果的精度。提出了一种引入模型误差求解部分参数的方法,这种方法可以改变病态性质,提高对部分参数的求解精度。通过算例来检验这种方法的可行性并探讨它的使用范围。

Ill-conditioned problems widely exist in the first class nonlinear regression model and seriously affect the accuracy of results. In order to change pathological problems, a new method is presented by solving some of the parameters with the introduction to the function model error. The solution enhances the accuracy of parameters, and the feasibility of this method is tested by using an example.