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 <c.bergmeir@decsai.ugr.es>
LicenseLGPL (>= 2) | file LICENSE
Version0.4-9
URL https://github.com/cbergmeir/RSNNS
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("RSNNS")

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