Extreme Learning Machines Toolbox

Version 1.0.4 (6.39 KB) by Victor Henrique Alves Ribeiro
Toolbox for regression and classification extreme learning machines in Matlab.
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1.2K Downloads
Updated 29 Aug 2020
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This toolbox implements Extreme Learning Machines (ELMs) for regression and classification using a simple interface.
With just one line of code, it is possible to train the ELM model.
Another single line is used for testing the model on new data.

This implementation also includes the option to add the functional link from RVFL, which creates additional connections between the inputs and output.

Cite As

Ribeiro, Victor Henrique Alves, et al. “Multi-Objective Ensembles of Echo State Networks and Extreme Learning Machines for Streamflow Series Forecasting.” Engineering Applications of Artificial Intelligence, vol. 95, Elsevier BV, Oct. 2020, p. 103910, doi:10.1016/j.engappai.2020.103910.

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MATLAB Release Compatibility
Created with R2019a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0.4

See release notes for this release on GitHub: https://github.com/vhrique/ELM/releases/tag/1.0.4
1.0.3

1.0.0.0

See release notes for this release on GitHub: https://github.com/vhrique/ELM/releases/tag/1.0.0
To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.