GP-OLS model structure identification
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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 (2024). GP-OLS model structure identification (https://www.mathworks.com/matlabcentral/fileexchange/7117-gp-ols-model-structure-identification), MATLAB Central File Exchange. Retrieved .
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- Control Systems > System Identification Toolbox > Linear Model Identification >
- AI, Data Science, and Statistics > Deep Learning Toolbox > Sequence and Numeric Feature Data Workflows >
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GPOLS/
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.) |