Package: elmNNRcpp 1.0.4

elmNNRcpp: The Extreme Learning Machine Algorithm

Training and predict functions for Single Hidden-layer Feedforward Neural Networks (SLFN) using the Extreme Learning Machine (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. This is a reimplementation of the 'elmNN' package using 'RcppArmadillo' after the 'elmNN' package was archived. For more information, see "Extreme learning machine: Theory and applications" by Guang-Bin Huang, Qin-Yu Zhu, Chee-Kheong Siew (2006), Elsevier B.V, <doi:10.1016/j.neucom.2005.12.126>.

Authors:Lampros Mouselimis [aut, cre], Alberto Gosso [aut], Edwin de Jonge [ctb]

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Bug tracker:https://github.com/mlampros/elmnnrcpp/issues

On CRAN:

armadilloelmextreme-learning-machinercpparmadillo

4 exports 15 stars 2.87 score 3 dependencies 7 dependents 2 mentions 38 scripts 534 downloads

Last updated 2 years agofrom:59ec60fd94. Checks:OK: 1 NOTE: 8. Indexed: yes.

Exports:elmelm_predictelm_trainonehot_encode

Dependencies:KernelKnnRcppRcppArmadillo