Curve Fitting Toolbox with multiple variables

20 次查看(过去 30 天)
Hello,
I have generated the code with cftool of matlab however it seems like more than 2 independent variable is not possible with this toolbox.
There are some solutions provided like lsqcurvefit or lsqnonlin but they are not limiting range of coefficients as generated code from cftool below.
Do you know how can i apply with 3 independent variables with limiting the range of coefficients as below?
Thank you in advance for your comments and ideas
[xData, yData, zData, sData] = prepareSurfaceData( Wm, Ym, Qm, Sm);
% Set up fittype and options.
ft = fittype( ['a*x^b*s^c*y^d'], 'independent', {'x', 'y','s'}, 'dependent', 'z' );
opts = fitoptions( 'Method', 'NonlinearLeastSquares' );
opts.Display = 'Off';
opts.Lower = [-Inf 0.9 0.3 1.3];
opts.Upper = [Inf 1.1 0.7 1.8];
opts.StartPoint = [0.706046088019609 0.0318328463774207 0.27692298496089 0.0461713906311539];

采纳的回答

Torsten
Torsten 2022-6-7
lsqnonlin and lsqcurvefit allow to prescribe lower and upper bounds (lb,ub) on the parameters:

更多回答(0 个)

类别

Help CenterFile Exchange 中查找有关 Linear and Nonlinear Regression 的更多信息

Community Treasure Hunt

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

Start Hunting!

Translated by