Extreme Learning Machines Toolbox

版本 1.0.4 (6.4 KB) 作者: Victor Henrique Alves Ribeiro

Toolbox for regression and classification extreme learning machines in Matlab.

https://github.com/vhrique/ELM

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更新时间 2020/8/29

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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.

引用格式

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 版本兼容性

创建方式 R2019a

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版本	已发布	发行说明
1.0.4	2020/8/29	See release notes for this release on GitHub: https://github.com/vhrique/ELM/releases/tag/1.0.4	下载
1.0.3	2020/8/29		下载
1.0.0.0	2022/1/23	See release notes for this release on GitHub: https://github.com/vhrique/ELM/releases/tag/1.0.0	下载

要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 仓库。

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} }