The Stuttgart Neural Network Simulator (SNNS) is a library containing many standard implementations of neural networks. RSNNS wraps the SNNS functionality to make it available from within R. Using the RSNNS low-level interface, nearly all of the 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.
Currently, this package shows some examples of its usage and some frequently asked questions. This site is still somewhat under construction.
The package can be downloaded here: