Please cite both the package and the original articles / software in your publications:

Mouselimis L (2022). elmNNRcpp: The Extreme Learning Machine Algorithm. R package version 1.0.4, https://CRAN.R-project.org/package=elmNNRcpp.

Gosso A (2012). elmNN: Implementation of ELM (Extreme Learning Machine ) algorithm for SLFN ( Single Hidden Layer Feedforward Neural Networks ).

Huang G, Zhou H, Ding X, Zhang R (2011). “Extreme Learning Machine for Regression and Multiclass Classification.” IEEE Transactions on Systems, Man, and Cybernetics, 42, 513–529. doi: 10.1109/TSMCB.2011.2168604.

Huang G, Zhu Q, Siew C (2006). “Extreme learning machine: Theory and applications.” Neurocomputing, 70, 489–501. doi: 10.1016/j.neucom.2005.12.126.

Corresponding BibTeX entries:

  @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},
  }

  @Manual{,
    title = {{elmNN}: Implementation of ELM (Extreme Learning Machine )
      algorithm for SLFN ( Single Hidden Layer Feedforward Neural
      Networks )},
    author = {Alberto Gosso},
    year = {2012},
  }

  @Article{,
    title = {Extreme Learning Machine for Regression and Multiclass
      Classification},
    author = {G.-B. Huang and H. Zhou and X. Ding and R. Zhang},
    journal = {IEEE Transactions on Systems, Man, and Cybernetics},
    year = {2011},
    volume = {42},
    pages = {513--529},
    doi = {10.1109/TSMCB.2011.2168604},
  }

  @Article{,
    title = {Extreme learning machine: Theory and applications},
    author = {G.-B. Huang and Q.-Y. Zhu and C.-K. Siew},
    journal = {Neurocomputing},
    year = {2006},
    volume = {70},
    pages = {489--501},
    doi = {10.1016/j.neucom.2005.12.126},
  }