GP-OLS model structure identification

Model structure identification of dynamical input-output systems that are linear-in-parameters.
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Updated 16 Feb 2006

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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://www.mathworks.com/matlabcentral/fileexchange/7117-gp-ols-model-structure-identification), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R13
Compatible with any release
Platform Compatibility
Windows macOS Linux
Version Published Release Notes
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.)