You are now following this Submission
- You will see updates in your followed content feed
- You may receive emails, depending on your communication preferences
Genetic Programming (GP) generates nonlinear input-output models of dynamical systems from input-output measurement data. This GP-OLS toolbox applies Orthogonal Least Squares algorithm (OLS) to improve the search effeciency of GP.
It can be used for static equation discovery or structure identification of simple dynamical linear-in-parameters models (i.e. NARX models, polynomial models, etc.)
See http://www.fmt.vein.hu/softcomp/gp/ for more help.
Cite As
János Madár (2026). GP-OLS model structure identification (https://se.mathworks.com/matlabcentral/fileexchange/7117-gp-ols-model-structure-identification), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0.0 (13.5 KB)
-
No License
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 | Change: instead of calulcation them sum of square error, now it calculates the mean of square error (mse). (Thanks to M. Kocher.) |
