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The demo of the algorithm EA-SRC is given in 'Demo_Classification_EASRC';
In addition to the main algorithm, the main contributions which utilizes the regularized ELM with a computational efficiency LOO method (RELM-LOO) is also given, with demos in 'Demo_Classification' and 'Demo_Regression';
The regressor includes the regularized ELM with a computational efficiency LOO method (RELM-LOO) is given in the folder '/utilities' named as 'regressor';
The folder '/l1ls' includes four representative sparse reconstruction algorithms;
Two classification applications and one regression application are included for illustration.
Citation pour cette source
Kai Zhang (2026). Code for the Extreme learning machine and adaptive sparse representation algorithm (EA-SRC) (https://fr.mathworks.com/matlabcentral/fileexchange/58005-code-for-the-extreme-learning-machine-and-adaptive-sparse-representation-algorithm-ea-src), MATLAB Central File Exchange. Extrait(e) le .
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En savoir plus sur Statistics and Machine Learning Toolbox dans Help Center et MATLAB Answers
Informations générales
- Version 1.0.0.0 (6,67 Mo)
Compatibilité avec les versions de MATLAB
- Compatible avec toutes les versions
Plateformes compatibles
- Windows
- macOS
- Linux
| Version | Publié le | Notes de version | Action |
|---|---|---|---|
| 1.0.0.0 | . |
