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elmNNRcpp ( Extreme Learning Machine )

The elmNNRcpp package is a reimplementation of elmNN using RcppArmadillo after the elmNN package was archived. Based on the documentation of the elmNN 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 and blog-post.

To install the package from CRAN use,

install.packages("elmNNRcpp")

and to download the latest version from Github use the install_github function of the devtools package,

remotes::install_github('mlampros/elmNNRcpp')

Use the following link to report bugs/issues,

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

Citation:

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

@Manual{,
  title = {{elmNNRcpp}: The Extreme Learning Machine Algorithm},
  author = {Lampros Mouselimis},
  year = {2022},
  note = {R package version 1.0.4},
  url = {https://CRAN.R-project.org/package=elmNNRcpp},
}

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.