CRAN/E | RSNNS

RSNNS

Neural Networks using the Stuttgart Neural Network Simulator (SNNS)

Installation

About

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.

Citation RSNNS citation info
github.com/cbergmeir/RSNNS
Copyright Original SNNS software Copyright (C) 1990-1995 SNNS Group, IPVR, Univ. Stuttgart, FRG; 1996-1998 SNNS Group, WSI, Univ. Tuebingen, FRG. R interface Copyright (C) DiCITS Lab, Sci2s group, DECSAI, University of Granada.
Mailing list rsnns@googlegroups.com
Bug report File report

Key Metrics

Version 0.4-17
R ≥ 2.10.0
Published 2023-11-30 142 days ago
Needs compilation? yes
License LGPL-2
License LGPL-2.1
License LGPL-3
License File
CRAN checks RSNNS results

Downloads

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Last 365 days 46.555 -8%

Maintainer

Maintainer

Christoph Bergmeir

c.bergmeir@decsai.ugr.es

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)

Material

ChangeLog
Reference manual
Package source

In Views

MachineLearning

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

RSNNS archive

Depends

R ≥ 2.10.0
methods
Rcpp ≥ 0.8.5

Suggests

scatterplot3d
NeuralNetTools

LinkingTo

Rcpp

Reverse Imports

DaMiRseq
FRI
noisemodel
rasclass
semiArtificial
TSPred

Reverse Suggests

flowml
fscaret
FSinR
mistyR
mlr
NeuralNetTools
NeuralSens

Reverse Enhances

vip