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

版本 1.0.0.0 (6.7 MB) 作者: Kai Zhang
Code for the Extreme learning machine and adaptive sparse representation algorithm (EA-SRC)
5.0
(1)
1.4K 次下载
更新时间 2016/7/4

查看许可证

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.

引用格式

Kai Zhang (2026). Code for the Extreme learning machine and adaptive sparse representation algorithm (EA-SRC) (https://ww2.mathworks.cn/matlabcentral/fileexchange/58005-code-for-the-extreme-learning-machine-and-adaptive-sparse-representation-algorithm-ea-src), MATLAB Central File Exchange. 检索时间: .

MATLAB 版本兼容性
创建方式 R2015b
兼容任何版本
平台兼容性
Windows macOS Linux
类别
在 Help Center 和 MATLAB Answers 中查找有关 Statistics and Machine Learning Toolbox 的更多信息
标签 添加标签

EA-SRC/

EA-SRC/l1ls/

EA-SRC/l1ls/@partialDCT/

EA-SRC/utilities/

版本 已发布 发行说明
1.0.0.0

.