RSNNS (0.4-9)

Neural Networks in R using the Stuttgart Neural Network Simulator (SNNS).

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.