Extreme Learning Machines Toolbox

Versión 1.0.4 (6,39 KB) por Victor Henrique Alves Ribeiro

Toolbox for regression and classification extreme learning machines in Matlab.

https://github.com/vhrique/ELM

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Actualizado 29 ago 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.

Citar como

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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Compatibilidad con la versión de MATLAB

Se creó con R2019a

Compatible con cualquier versión

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Versión	Publicado	Notas de la versión
1.0.4	29 ago 2020	See release notes for this release on GitHub: https://github.com/vhrique/ELM/releases/tag/1.0.4	Descargar
1.0.3	29 ago 2020		Descargar
1.0.0.0	23 ene 2022	See release notes for this release on GitHub: https://github.com/vhrique/ELM/releases/tag/1.0.0	Descargar

Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.

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} }