RSNNS : Neural Networks in R using the Stuttgart Neural Network Simulator (SNNS)

Package: RSNNS
Maintainer: Christoph Bergmeir <c.bergmeir@decsai.ugr.es>
License: LGPL (>= 2) | file LICENSE
Title: Neural Networks in R using the Stuttgart Neural Network
Simulator (SNNS)
LinkingTo: Rcpp
Type: Package
LazyLoad: yes
Author: Christoph Bergmeir and José M. Benítez
Description: 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: 0.4-7
URL: http://sci2s.ugr.es/dicits/software/RSNNS
Date: 2015-06-12
Depends: R (>= 2.10.0), methods, Rcpp (>= 0.8.5)
Suggests: scatterplot3d, NeuralNetTools
Encoding: UTF-8
Packaged: 2015-06-12 06:03:18 UTC; bergmeir
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-06-12 10:49:38