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: | 0.4-5 |
Depends: | R (≥ 2.10.0), methods, Rcpp (≥ 0.8.5) |
LinkingTo: | Rcpp |
Suggests: | scatterplot3d |
Published: | 2014-05-23 |
Author: | Christoph Bergmeir and José M. Benítez |
Maintainer: | Christoph Bergmeir <c.bergmeir at decsai.ugr.es> |
License: | LGPL-2 | LGPL-2.1 | LGPL-3 | file LICENSE [expanded from: LGPL (≥ 2) | file LICENSE] |
URL: | http://sci2s.ugr.es/dicits/software/RSNNS |
NeedsCompilation: | yes |
Citation: | RSNNS citation info |
Materials: | ChangeLog |
In views: | MachineLearning |
CRAN checks: | RSNNS results |
Reference manual: | RSNNS.pdf |
Package source: | RSNNS_0.4-5.tar.gz |
Windows binaries: | r-devel: RSNNS_0.4-5.zip, r-release: RSNNS_0.4-5.zip, r-oldrel: RSNNS_0.4-5.zip |
OS X Snow Leopard binaries: | r-release: RSNNS_0.4-5.tgz, r-oldrel: RSNNS_0.4-5.tgz |
OS X Mavericks binaries: | r-release: RSNNS_0.4-5.tgz |
Old sources: | RSNNS archive |
Reverse imports: | rasclass, semiArtificial |
Reverse suggests: | fscaret |