RSNNS: Neural Networks in R using the Stuttgart Neural Network Simulator (SNNS)
Version 0.4-9

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.

Package details

AuthorChristoph Bergmeir and José M. Benítez
Date of publication2016-12-16 08:33:39
MaintainerChristoph Bergmeir <[email protected]>
LicenseLGPL (>= 2) | file LICENSE
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the RSNNS package in your browser

Any scripts or data that you put into this service are public.

RSNNS documentation built on May 29, 2017, 11:41 p.m.