Orthogonal Least Squares Algorithm for RBF Networks

Versione 1.0.0.0 (1,38 KB) da Anshuman Gupta

The code implements the OLS algorithm for func approx.

Segui

5.0

(1)

2,7K download

Aggiornato 26 mar 2009

Visualizza la licenza

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

Cita come

Anshuman Gupta (2026). Orthogonal Least Squares Algorithm for RBF Networks (https://it.mathworks.com/matlabcentral/fileexchange/23442-orthogonal-least-squares-algorithm-for-rbf-networks), MATLAB Central File Exchange. Recuperato marzo 10, 2026.

Compatibilità della release di MATLAB

Creato con R11.1

Compatibile con qualsiasi release

Compatibilità della piattaforma

Windows macOS Linux

Categorie

AI and Statistics > Deep Learning Toolbox > Train Deep Neural Networks > Function Approximation, Clustering, and Control > Function Approximation and Clustering > Define Shallow Neural Network Architectures >

Scopri di più su Define Shallow Neural Network Architectures in Help Center e MATLAB Answers

Tag Aggiungi tag

Riconoscimenti

Ispirato da: Function Approximation Using Neural Network Without using Toolbox

Apri in una nuova scheda

Versione	Pubblicato	Note della release
1.0.0.0	26 mar 2009		Scarica