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.

https://github.com/vhrique/ELM

5.0

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1K 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	29 Aug 2020	See release notes for this release on GitHub: https://github.com/vhrique/ELM/releases/tag/1.0.4	Download
1.0.3	29 Aug 2020		Download
1.0.0.0	23 Jan 2022	See release notes for this release on GitHub: https://github.com/vhrique/ELM/releases/tag/1.0.0	Download

To view or report issues in this GitHub add-on, visit the GitHub Repository.

MLA	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.
APA	Ribeiro, V. H. A., Reynoso-Meza, G., & Siqueira, H. V. (2020). Multi-objective ensembles of echo state networks and extreme learning machines for streamflow series forecasting. Engineering Applications of Artificial Intelligence, 95, 103910. Elsevier BV. Retrieved from https://doi.org/10.1016%2Fj.engappai.2020.103910
BibTeX	@article{Ribeiro_2020, doi = {10.1016/j.engappai.2020.103910}, url = {https://doi.org/10.1016%2Fj.engappai.2020.103910}, year = 2020, month = {oct}, publisher = {Elsevier {BV}}, volume = {95}, pages = {103910}, author = {Victor Henrique Alves Ribeiro and Gilberto Reynoso-Meza and Hugo Valadares Siqueira}, title = {Multi-objective ensembles of echo state networks and extreme learning machines for streamflow series forecasting}, journal = {Engineering Applications of Artificial Intelligence} }