Extreme Learning Machines Toolbox

Version 1.0.4 (6,39 KB) von Victor Henrique Alves Ribeiro

Toolbox for regression and classification extreme learning machines in Matlab.

https://github.com/vhrique/ELM

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Aktualisiert 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.

Zitieren als

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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Kompatibilität der MATLAB-Version

Erstellt mit R2019a

Kompatibel mit allen Versionen

Plattform-Kompatibilität

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Version	Veröffentlicht	Versionshinweise
1.0.4	29. Aug 2020	See release notes for this release on GitHub: https://github.com/vhrique/ELM/releases/tag/1.0.4	Herunterladen
1.0.3	29. Aug 2020		Herunterladen
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	Herunterladen

Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das 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} }