How can I perform multivariable polynomial curve fitting?
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Mitchell
el 15 de Mayo de 2013
Comentada: Abdullah Danyal Saeed
el 24 de Nov. de 2016
Hey Community! I am looking to perform a polynomial curve fit on a set of data so that I get a multivariable polynomial. I have successfully been able to fit a variable on an independent set using polyfit(). In my case, that was "voltage as a function of current." I want to be able to perform a fit that gives me a function for something like, "voltage as a function of current and temperature." Any ideas?
Cheers!
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Shashank Prasanna
el 15 de Mayo de 2013
You can use the curve fitting toolbox (cftool) or the statistics toolbox (regress, LinearModel.fit, NonLinearModel.fit) to perform multiple linear regression.
If you don't have any of those toolboxes then you can set up your own optimization problem to fit your function as below:
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Shashank Prasanna
el 15 de Mayo de 2013
Editada: Shashank Prasanna
el 15 de Mayo de 2013
1) Yes Z = f(X,Y)
2) If you don't have same size data, you may have to interpolate.
Más respuestas (2)
cr
el 15 de Mayo de 2013
I dont think basic Matlab has got that ability. You will need curve fitting toolbox to do surface fitting. See this link: http://www.mathworks.in/help/curvefit/surface-fitting.html
Regards.
David Graff
el 27 de Abr. de 2015
Use the excellent polyfitn package at http://www.mathworks.com/matlabcentral/fileexchange/34765-polyfitn . I love it and use it all the time.
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