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)

이 제출물을 팔로우합니다

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.

인용 양식

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

카테고리

Help CenterMATLAB Answers에서 Statistics and Machine Learning Toolbox에 대해 자세히 알아보기

일반 정보

MATLAB 릴리스 호환 정보

  • 모든 릴리스와 호환

플랫폼 호환성

  • Windows
  • macOS
  • Linux
버전 퍼블리시됨 릴리스 정보 Action
1.0.0.0

.