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

Version 1.0.0 (1,86 KB) von Ludovico Cuoghi
Application of SUPPORT VECTOR REGRESSION to estimate a non linear function
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Aktualisiert 17. Dez 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

Zitieren als

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. Abgerufen .

Kompatibilität der MATLAB-Version
Erstellt mit R2019b
Kompatibel mit allen Versionen
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Version Veröffentlicht Versionshinweise
1.0.0