Neural Networks 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.


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install.packages("RSNNS")

0.4-11 by Christoph Bergmeir, 2 months ago


https://github.com/cbergmeir/RSNNS


Report a bug at https://github.com/cbergmeir/RSNNS/issues


Browse source code at https://github.com/cran/RSNNS


Authors: Christoph Bergmeir [aut, cre, cph] , José M. Benítez [ths] , Andreas Zell [ctb] (Part of original SNNS development team) , Niels Mache [ctb] (Part of original SNNS development team) , Günter Mamier [ctb] (Part of original SNNS development team) , Michael Vogt [ctb] (Part of original SNNS development team) , Sven Döring [ctb] (Part of original SNNS development team) , Ralf Hübner [ctb] (Part of original SNNS development team) , Kai-Uwe Herrmann [ctb] (Part of original SNNS development team) , Tobias Soyez [ctb] (Part of original SNNS development team) , Michael Schmalzl [ctb] (Part of original SNNS development team) , Tilman Sommer [ctb] (Part of original SNNS development team) , Artemis Hatzigeorgiou [ctb] (Part of original SNNS development team) , Dietmar Posselt [ctb] (Part of original SNNS development team) , Tobias Schreiner [ctb] (Part of original SNNS development team) , Bernward Kett [ctb] (Part of original SNNS development team) , Martin Reczko [ctb] (Part of original SNNS external contributors) , Martin Riedmiller [ctb] (Part of original SNNS external contributors) , Mark Seemann [ctb] (Part of original SNNS external contributors) , Marcus Ritt [ctb] (Part of original SNNS external contributors) , Jamie DeCoster [ctb] (Part of original SNNS external contributors) , Jochen Biedermann [ctb] (Part of original SNNS external contributors) , Joachim Danz [ctb] (Part of original SNNS development team) , Christian Wehrfritz [ctb] (Part of original SNNS development team) , Patrick Kursawe [ctb] (Contributors to SNNS Version 4.3) , Andre El-Ama [ctb] (Contributors to SNNS Version 4.3)


Documentation:   PDF Manual  


Task views: Machine Learning & Statistical Learning


LGPL (>= 2) | file LICENSE license


Depends on methods, Rcpp

Suggests scatterplot3d, NeuralNetTools

Linking to Rcpp


Imported by nnetpredint, rasclass, semiArtificial.

Suggested by NeuralNetTools, fscaret, mlr.


See at CRAN