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: | 0.4-9 |
| Depends: | R (≥ 2.10.0), methods, Rcpp (≥ 0.8.5) |
| LinkingTo: | Rcpp |
| Suggests: | scatterplot3d, NeuralNetTools |
| Published: | 2016-12-16 |
| Author: | Christoph Bergmeir and José M. Benítez |
| Maintainer: | Christoph Bergmeir <c.bergmeir at decsai.ugr.es> |
| BugReports: | https://github.com/cbergmeir/RSNNS/issues |
| License: | LGPL-2 | LGPL-2.1 | LGPL-3 | file LICENSE [expanded from: LGPL (≥ 2) | file LICENSE] |
| 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_0.4-9.tar.gz |
| Windows binaries: | r-devel: RSNNS_0.4-9.zip, r-release: RSNNS_0.4-9.zip, r-oldrel: RSNNS_0.4-9.zip |
| OS X El Capitan binaries: | r-release: RSNNS_0.4-9.tgz |
| OS X Mavericks binaries: | r-oldrel: RSNNS_0.4-9.tgz |
| Old sources: | RSNNS archive |
| Reverse imports: | nnetpredint, rasclass, semiArtificial |
| Reverse suggests: | fscaret, mlr, NeuralNetTools |
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