Orthogonal Least Squares Algorithm for RBF Networks
版本 1.0.0.0 (1.4 KB) 作者:
Anshuman Gupta
The code implements the OLS algorithm for func approx.
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
引用格式
Anshuman Gupta (2026). Orthogonal Least Squares Algorithm for RBF Networks (https://ww2.mathworks.cn/matlabcentral/fileexchange/23442-orthogonal-least-squares-algorithm-for-rbf-networks), MATLAB Central File Exchange. 检索时间: .
MATLAB 版本兼容性
创建方式
R11.1
兼容任何版本
平台兼容性
Windows macOS Linux类别
- AI and Statistics > Deep Learning Toolbox > Train Deep Neural Networks > Function Approximation, Clustering, and Control > Function Approximation and Clustering > Define Shallow Neural Network Architectures >
在 Help Center 和 MATLAB Answers 中查找有关 Define Shallow Neural Network Architectures 的更多信息
标签
| 版本 | 已发布 | 发行说明 | |
|---|---|---|---|
| 1.0.0.0 |
