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TheelmNNRcpp package is a reimplementation ofelmNN usingRcppArmadillo after theelmNN package was archived. Based on the documentation of theelmNN it consists of,"Training and predict functions for SLFN ( Single Hidden-layer Feedforward Neural Networks ) using the ELM algorithm. The ELM algorithm differs from the traditional gradient-based algorithms for very short training times ( it doesn't need any iterative tuning, this makes learning time very fast ) and there is no need to set any other parameters like learning rate, momentum, epochs, etc.". More details can be found in the package Documentation, Vignette andblog-post.

To install the package from CRAN use,

install.packages("elmNNRcpp")

or download the latest version from Github using thepak package,

pak::pak('mlampros/elmNNRcpp')

Use the following link to report bugs/issues,

https://github.com/mlampros/elmNNRcpp/issues

If you use the code of this repository in your paper or research please cite bothelmNNRcpp and theoriginal articles / softwarehttps://CRAN.R-project.org/package=elmNNRcpp:

@Manual{,title= {{elmNNRcpp}:TheExtremeLearningMachineAlgorithm},author= {LamprosMouselimis},year= {2025},note= {Rpackageversion1.0.5},url= {https://CRAN.R-project.org/package=elmNNRcpp},}