Neural Networks in R using the Stuttgart Neural Network Simulator (SNNS) CRAN Task View: MachineLearning (http://CRAN.R-project.org/view=MachineLearning) 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. Software Depends: R (>= 2.10.0), methods, Rcpp (>= 0.8.5) LinkingTo: Rcpp Suggests: scatterplot3d Christoph Bergmeir <c.bergmeir@decsai.ugr.es> Christoph Bergmeir and José M. Benítez LGPL (>= 2) 2012-01-10 application/tgz http://CRAN.R-project.org/package=RSNNS