Model Structure Identification Linear-in-parameters models are quite widespread in process engineering, e.g. NAARX, polynomial ARMA models, etc. Genetic Programming (GP) is able to generate nonlinear input-output models of dynamical systems that are represented in a tree structure. This GP-OLS toolbox applies Orthogonal Least Squares algorithm (OLS) to estimate the contribution of the branches of the tree to the accuracy of the model. This method results in more robust and interpretable models than the classical GP method. This approach has been implemented in this GP-OLS Toolbox, which can be downloaded: gpols_v2.zip. One submitted papers about the application of this toolbox are also available from here: ie049626e.pdf. Html help of the GP-OLS Matlab® Toolbox ^{®} The Matlab is registered trademark of MathWorks Inc. |

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