Orthogonal Least Squares Algorithm for RBF Networks
The code implements the algorithm as given in Chen et. al 1991.It takes max tolerance from the user.It selects Ms significant regressors from the total M regressors.
Unfortunately, the error obtained after training the RBF network isn't as expected. Is there a mistake in my code???
Please feel free to modify this code and mail me your suggestions on anshuman0387[at]yahoo[dot]com.
Any help in this regard would be greatly appreciated
Citation pour cette source
Anshuman Gupta (2026). Orthogonal Least Squares Algorithm for RBF Networks (https://fr.mathworks.com/matlabcentral/fileexchange/23442-orthogonal-least-squares-algorithm-for-rbf-networks), MATLAB Central File Exchange. Extrait(e) le .
Compatibilité avec les versions de MATLAB
Plateformes compatibles
Windows macOS LinuxCatégories
- AI and Statistics > Deep Learning Toolbox > Train Deep Neural Networks > Function Approximation, Clustering, and Control > Function Approximation and Clustering > Define Shallow Neural Network Architectures >
Tags
Remerciements
Inspiré par : Function Approximation Using Neural Network Without using Toolbox
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 |
