Matlab curve fitting tool automation for selection of fit with minimum sse.

Question

zafar khan 2017-5-2

1
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/338379-matlab-curve-fitting-tool-automation-for-selection-of-fit-with-minimum-sse

评论： zafar khan 2017-5-9

I have time as x data and energy consumption data as y data, i am trying to use curve fitting tool for smoothing the curves of energy data. Is there a way that matlab can automatically check all the fittings techniques and tables of SSE are given out. Certain types of fitting like interpolation, spline interpolation are not to be included in the fitting options as they will obviously give the minimum sse.

0 个评论
显示 -2更早的评论隐藏 -2更早的评论

请先登录，再进行评论。

请先登录，再回答此问题。

Answer 1

Kevin Gleason 2017-5-5

2
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/338379-matlab-curve-fitting-tool-automation-for-selection-of-fit-with-minimum-sse#answer_265838

在 MATLAB Online 中打开

You could certainly write your own function by using the gof output of the "fit" function.

Here is an example that shows you how to use the "fit" to see the Goodness of Fit of different methods. You could store the "gof" values in an array and find the max GoF.

function bestFitName = Gof_Finder( x, y )
    Fits = {'poly1', 'poly2', 'poly3', 'exp1'};
      for i=1:numel(Fits)
          [~,GoFs(i)] = fit( x, y,  Fits{i} );
      end
      [~, minIdx] = min([GoFs.sse]);
      bestFitName = Fits{minIdx};
  end