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
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
Plateformes compatibles
Windows macOS LinuxTags
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Version | Publié le | Notes de version | |
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1.0.0 |