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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 |
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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.
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