Nonlinear regression using PSO and GA

Version 1.0.0 (3,2 ko) par Pakize
These codes find the coefficents of a non linear model with GA and PSO
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Mise à jour 25 fév. 2022

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Nonlinear regression is a type of regression which is used for modeling a relation between the independent variables and dependent variables. Finding the proper regression model and coefficients is important for all disciplines. Genetic Algorithms (GA) and Particle Swarm Optimization (PSO) were used for finding some nonlinear regression model coefficients given on this web page(https://www.itl.nist.gov/div898/strd/nls/nls_main.shtml)
The code is only for Chwirut1.

Citation pour cette source

Pakize (2024). Nonlinear regression using PSO and GA (https://www.mathworks.com/matlabcentral/fileexchange/107250-nonlinear-regression-using-pso-and-ga), MATLAB Central File Exchange. Récupéré le .

Erdoğmuş, Pakize, and Simge Ekiz. "Nonlinear regression using particle swarm optimization and genetic algorithm." International Journal of Computer Applications 153.6 (2016): 28-36.

Compatibilité avec les versions de MATLAB
Créé avec R2021b
Compatible avec toutes les versions
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Version Publié le Notes de version
1.0.0