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The Stuttgart Neural Network Simulator (SNNS) is a library containing many standard implementations of neural networks. This package wraps the SNNS functionality to make it available from within R. Using the 'RSNNS' low-level interface, all of the algorithmic functionality and flexibility of SNNS can be accessed. Furthermore, the package contains a convenient high-level interface, so that the most common neural network topologies and learning algorithms integrate seamlessly into R.
| Version: | 0.4-17 |
| Depends: | R (≥ 2.10.0), methods, Rcpp (≥ 0.8.5) |
| LinkingTo: | Rcpp |
| Suggests: | scatterplot3d, NeuralNetTools |
| Published: | 2023-11-30 |
| DOI: | 10.32614/CRAN.package.RSNNS |
| Author: | Christoph Bergmeir [aut, cre, cph], José M. Benítez [ths], Andreas Zell [ctb] (Part of original SNNS development team), Niels Mache [ctb] (Part of original SNNS development team), Günter Mamier [ctb] (Part of original SNNS development team), Michael Vogt [ctb] (Part of original SNNS development team), Sven Döring [ctb] (Part of original SNNS development team), Ralf Hübner [ctb] (Part of original SNNS development team), Kai-Uwe Herrmann [ctb] (Part of original SNNS development team), Tobias Soyez [ctb] (Part of original SNNS development team), Michael Schmalzl [ctb] (Part of original SNNS development team), Tilman Sommer [ctb] (Part of original SNNS development team), Artemis Hatzigeorgiou [ctb] (Part of original SNNS development team), Dietmar Posselt [ctb] (Part of original SNNS development team), Tobias Schreiner [ctb] (Part of original SNNS development team), Bernward Kett [ctb] (Part of original SNNS development team), Martin Reczko [ctb] (Part of original SNNS external contributors), Martin Riedmiller [ctb] (Part of original SNNS external contributors), Mark Seemann [ctb] (Part of original SNNS external contributors), Marcus Ritt [ctb] (Part of original SNNS external contributors), Jamie DeCoster [ctb] (Part of original SNNS external contributors), Jochen Biedermann [ctb] (Part of original SNNS external contributors), Joachim Danz [ctb] (Part of original SNNS development team), Christian Wehrfritz [ctb] (Part of original SNNS development team), Patrick Kursawe [ctb] (Contributors to SNNS Version 4.3), Andre El-Ama [ctb] (Contributors to SNNS Version 4.3) |
| Maintainer: | Christoph Bergmeir <c.bergmeir at decsai.ugr.es> |
| MailingList: | rsnns@googlegroups.com |
| BugReports: | https://github.com/cbergmeir/RSNNS/issues |
| License: | LGPL-2 | LGPL-2.1 | LGPL-3 | file LICENSE [expanded from: LGPL (≥ 2) | file LICENSE] |
| Copyright: | Original SNNS software Copyright (C) 1990-1995 SNNS Group, IPVR, Univ. Stuttgart, FRG; 1996-1998 SNNS Group, WSI, Univ. Tuebingen, FRG. R interface Copyright (C) DiCITS Lab, Sci2s group, DECSAI, University of Granada. |
| URL: | https://github.com/cbergmeir/RSNNS |
| NeedsCompilation: | yes |
| Citation: | RSNNS citation info |
| Materials: | ChangeLog |
| In views: | MachineLearning |
| CRAN checks: | RSNNS results |
| Reference manual: | RSNNS.pdf |
| Package source: | RSNNS_0.4-17.tar.gz |
| Windows binaries: | r-devel: RSNNS_0.4-17.zip, r-release: RSNNS_0.4-17.zip, r-oldrel: RSNNS_0.4-17.zip |
| macOS binaries: | r-release (arm64): RSNNS_0.4-17.tgz, r-oldrel (arm64): RSNNS_0.4-17.tgz, r-release (x86_64): RSNNS_0.4-17.tgz, r-oldrel (x86_64): RSNNS_0.4-17.tgz |
| Old sources: | RSNNS archive |
| Reverse imports: | DaMiRseq, FRI, noisemodel, rasclass, semiArtificial, TSPred |
| Reverse suggests: | flowml, fscaret, mistyR, mlr, NeuralNetTools, NeuralSens |
| Reverse enhances: | vip |
Please use the canonical form https://CRAN.R-project.org/package=RSNNS to link to this page.
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.