Package: elmNNRcpp Type: Package Title: The Extreme Learning Machine Algorithm Version: 1.0.5 Date: 2025-09-15 Authors@R: c( person(given = "Lampros", family = "Mouselimis", email = "mouselimislampros@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-8024-1546")), person(given = "Alberto", family = "Gosso", email = "gosso.alberto@gmail.com", role = "aut"), person(given = "Edwin", family = "de Jonge", email = "edwindjonge@gmail.com", role = "ctb", comment = c(ORCID = "0000-0002-6580-4718", comment = "Github Contributor")) ) BugReports: https://github.com/mlampros/elmNNRcpp/issues URL: https://github.com/mlampros/elmNNRcpp, https://mlampros.github.io/elmNNRcpp/ Description: 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, . License: GPL (>= 2) Encoding: UTF-8 Depends: R(>= 3.0.2), KernelKnn Imports: Rcpp (>= 0.12.17) LinkingTo: Rcpp, RcppArmadillo (>= 0.8) Suggests: testthat, covr, knitr, rmarkdown VignetteBuilder: knitr RoxygenNote: 7.3.2 Repository: https://mlampros.r-universe.dev Date/Publication: 2025-10-01 17:12:49 UTC RemoteUrl: https://github.com/mlampros/elmnnrcpp RemoteRef: HEAD RemoteSha: 8c339b78aefb0ea8f4954bf1bed4d655313ed8fa NeedsCompilation: yes Packaged: 2026-07-04 20:55:20 UTC; root Author: Lampros Mouselimis [aut, cre] (ORCID: ), Alberto Gosso [aut], Edwin de Jonge [ctb] (ORCID: , comment: Github Contributor) Maintainer: Lampros Mouselimis