Modified Optimal Foraging Algorithm for Parameters Optimization of Support Vector Machine
Support Vector Machine (SVM) is one of the widely used algorithms for classification and regression problems. In SVM, penalty parameter C and kernel parameters can have a significant impact on the complexity and performance of SVM. In this paper, an Optimal Foraging Algorithm (OFA) is proposed to optimize the main parameters of SVM and reduce the classification error. The experimental results show that the proposed OFA-SVM obtained superior results. Also, the results demonstrate the capability of the proposed OFA-SVM to find optimal values of SVM parameters.
Citation pour cette source
Gehad Ismail Sayed (2025). Modified Optimal Foraging Algorithm for Parameters Optimization of Support Vector Machine (https://www.mathworks.com/matlabcentral/fileexchange/66202-modified-optimal-foraging-algorithm-for-parameters-optimization-of-support-vector-machine), MATLAB Central File Exchange. Extrait(e) le .
Compatibilité avec les versions de MATLAB
Plateformes compatibles
Windows macOS LinuxCatégories
Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Découvrir Live Editor
Créez des scripts avec du code, des résultats et du texte formaté dans un même document exécutable.
Version | Publié le | Notes de version | |
---|---|---|---|
1.0.0.0 |