using least square fit to find the best fit parameters

1 次查看（过去 30 天）

Annie Ng 2020-2-26

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/507593-using-least-square-fit-to-find-the-best-fit-parameters

回答： Alex Sha 2020-2-26

I have 3 variables y, x1, and x2 stored in vector form. I know that y=f(x1,x2) and has the form y = a*b*x1/(1+b*x1+c*x2) + d*x1. a,b,c, and d are parameters. How can I use lsqnonlin to find a,b,c,d?

Thank you

5 个评论
显示 3更早的评论隐藏 3更早的评论

Annie Ng 2020-2-26

is there any other way that I can find the parameters?

Rik 2020-2-26

You could try with a different fitting function or with different initial guesses. Those two will only help if your function properly describes the trend in your data and if your data isn't noisy in the first place.

请先登录，再进行评论。

请先登录，再回答此问题。