RSNNS (0.4-9)
Neural Networks in R using the Stuttgart Neural Network Simulator (SNNS).
https://github.com/cbergmeir/RSNNS
http://cran.r-project.org/web/packages/RSNNS
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.
Maintainer:
Christoph Bergmeir
Author(s): Christoph Bergmeir and Jos M. Bentez
License: LGPL (>= 2) | file LICENSE
Uses: Rcpp, scatterplot3d, NeuralNetTools
Reverse suggests: caret, fscaret, mlr, NeuralNetTools, NeuralSens, vip
Released about 3 years ago.
