Code for the Extreme learning machine and adaptive sparse representation algorithm (EA-SRC)
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 (2024). Code for the Extreme learning machine and adaptive sparse representation algorithm (EA-SRC) (https://www.mathworks.com/matlabcentral/fileexchange/58005-code-for-the-extreme-learning-machine-and-adaptive-sparse-representation-algorithm-ea-src), MATLAB Central File Exchange. Récupéré le .
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Version | Publié le | Notes de version | |
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1.0.0.0 | . |