inst/CITATION
Mouselimis L (2022). elmNNRcpp: The Extreme Learning Machine Algorithm. R package version 1.0.4, 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},
}
Gosso A (2012). elmNN: Implementation of ELM (Extreme Learning Machine ) algorithm for SLFN ( Single Hidden Layer Feedforward Neural Networks ).
@Manual{,
title = {{elmNN}: Implementation of ELM (Extreme Learning Machine ) algorithm for SLFN ( Single Hidden Layer Feedforward Neural Networks )},
author = {Alberto Gosso},
year = {2012},
}
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.
@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},
}
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.
@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},
}