Options when drawing using the Curve Fitting tool

1 vue (au cours des 30 derniers jours)
haeyeon JI
haeyeon JI le 22 Août 2020
Commenté : Alex Sha le 24 Août 2020
I am inputting x y z data and using 'Curve Fitting tool' to create a nonlinear regression graph.
I am trying to find the coefficients a,b,c,d suitable for the data using the 'Custom Equation' formula, but the graph is too different from the data.
I tried changing Robust and Algorithm, but the graph is not similar to the data.
What additional work should I do to get the graph?

Réponse acceptée

Alex Sha
Alex Sha le 23 Août 2020
Hi, post your data and function in txt format, if possible.
  4 commentaires
haeyeon JI
haeyeon JI le 24 Août 2020
Modifié(e) : haeyeon JI le 24 Août 2020
It is an expected expression,
and my expression is ax+blog10(y+c), not ax*blog10(y+c).
And please note that the data has been modified
Alex Sha
Alex Sha le 24 Août 2020
The fitting result is not so good if the function is: z=a*x+b*log10(y+c)
Root of Mean Square Error (RMSE): 0.115584191368428
Sum of Squared Residual: 0.654625559420376
Correlation Coef. (R): 0.855538827407886
R-Square: 0.731946685202461
Adjusted R-Square: 0.714076464215958
Parameter Best Estimate
---------- -------------
a 0.0741121571659251
b -0.283418916981476
c -9.47213514559854

Connectez-vous pour commenter.

Plus de réponses (0)

Catégories

En savoir plus sur Linear and Nonlinear Regression dans Help Center et File Exchange

Community Treasure Hunt

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

Start Hunting!

Translated by