Support Vector Regression ( LS-SVR) for Non Linear functions

Version 1.0.0 (1.86 KB) by Ludovico Cuoghi
Application of SUPPORT VECTOR REGRESSION to estimate a non linear function
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1.2K Downloads
Updated 17 Dec 2019

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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 (2024). 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 .

MATLAB Release Compatibility
Created with R2019b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.0.0