Package: RSNNS
Maintainer: Christoph Bergmeir <c.bergmeir@decsai.ugr.es>
License: LGPL (>= 2)
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: 0.4-3
URL: http://sci2s.ugr.es/dicits/software/RSNNS
Date: 2012-01-10
Depends: R (>= 2.10.0), methods, Rcpp (>= 0.8.5)
Suggests: scatterplot3d
Encoding: UTF-8
Collate: 'art1.R' 'art2.R' 'artmap.R' 'assoz.R' 'dlvq.R' 'docData.R'
        'elman.R' 'jordan.R' 'mlp.R' 'normalizeData.R' 'parser.R'
        'rbf.R' 'rbfDDA.R' 'reg_class.R' 'RSNNS-package.R' 'rsnns.R'
        'SnnsDefines.R' 'SnnsR_createNets.R' 'SnnsR_extractNetInfo.R'
        'SnnsR_masked.R' 'SnnsR_parser.R' 'SnnsR_patterns.R'
        'SnnsR_train.R' 'SnnsR_util.R' 'SnnsRObjectFactory.R' 'som.R'
        'util.R'
Packaged: 2012-01-10 11:30:03 UTC; bergmeir
Repository: CRAN
Date/Publication: 2012-01-10 13:37:01
Built: R 2.13.2; i386-pc-mingw32; 2012-02-18 03:57:31 UTC; windows
Archs: i386, x64
