RSNNS (0.4-9)

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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

Released 5 months ago.


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