Matlab code by least square method

8 次查看（过去 30 天）
Ahmet Tasgetiren
Ahmet Tasgetiren 2020-4-11
评论： Image Analyst 2021-1-1
Write matlab codes that fit curves n. a degree function using the least squares method.?

请先登录，再回答此问题。

回答（2 个）

David Hill
David Hill 2020-4-11
If you can use matlab functions, it is quite easy:
p=polyfit(x,y,n);
Image Analyst
Image Analyst 2020-4-11
You can do something like this with polyfit. Run the attached demo for a full demo to create the plots below. Adapt as needed.
% Do the regression with polyfit to fit a cubic polynomial
cubicCefficients = polyfit(x, y, 3)
% The x coefficient, slope, is coefficients(1).
% The constant, the intercept, is coefficients(2).
% Make fit. It does NOT need to have the same
% number of elements as your training set,
% or the same range, though it could if you want.
% Make 500 fitted samples going from -13 to +12.
xFit = linspace(-13, 12, 500);
% Get the estimated values with polyval()
yFit = polyval(cubicCefficients, xFit);
  2 个评论
Diaz Iskakov
Diaz Iskakov 2020-12-13
Hello,
Very interesting but how could i create thus kind of function in high dimension problems ? Like R7->R
(X1,X2,X3,X4,X5,X7)->X
Thank
Image Analyst
Image Analyst 2020-12-13
You can use matrix division, like coefficients = A\y. Start a new question and provide some data to someone can do a multiple linear regression for you.

请先登录，再进行评论。

类别

在 Help Center 和 File Exchange 中查找有关 Linear and Nonlinear Regression 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by