Code for the Extreme learning machine and adaptive sparse representation algorithm (EA-SRC)

Code for the Extreme learning machine and adaptive sparse representation algorithm (EA-SRC)
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Aggiornato 4 lug 2016

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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.

Cita come

Kai Zhang (2026). Code for the Extreme learning machine and adaptive sparse representation algorithm (EA-SRC) (https://it.mathworks.com/matlabcentral/fileexchange/58005-code-for-the-extreme-learning-machine-and-adaptive-sparse-representation-algorithm-ea-src), MATLAB Central File Exchange. Recuperato .

Compatibilità della release di MATLAB
Creato con R2015b
Compatibile con qualsiasi release
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Versione Pubblicato Note della release
1.0.0.0

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