RSNNS: Neural Networks in R using the Stuttgart Neural Network
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.