Orthogonal Least Squares Algorithm for RBF Networks
The code implements the OLS algorithm for func approx.
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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
Cite As
Anshuman Gupta (2026). Orthogonal Least Squares Algorithm for RBF Networks (https://www.mathworks.com/matlabcentral/fileexchange/23442-orthogonal-least-squares-algorithm-for-rbf-networks), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired by: Function Approximation Using Neural Network Without using Toolbox
Categories
Find more on Define Shallow Neural Network Architectures in Help Center and MATLAB Answers
General Information
- Version 1.0.0.0 (1.38 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
