Support Vector Regression ( LS-SVR) for Non Linear functions
Application of SUPPORT VECTOR REGRESSION to estimate a non linear function
You are now following this Submission
- You will see updates in your followed content feed
- You may receive emails, depending on your communication preferences
The script estimate a non linear function based on noisy training data.
In particular, the Support Vector Regression used is the Least Squares version.
There are two free parameters:
-C is used to avoid overfitting
-g is related to the learning paramater of the Radial Basis Function
Cite As
Ludovico Cuoghi (2026). Support Vector Regression ( LS-SVR) for Non Linear functions (https://www.mathworks.com/matlabcentral/fileexchange/73706-support-vector-regression-ls-svr-for-non-linear-functions), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0 (1.86 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
