Package: RSNNS 0.4-17

Christoph Bergmeir

RSNNS: 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.

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

RSNNS_0.4-17.tar.gz
RSNNS_0.4-17.zip(r-4.5)RSNNS_0.4-17.zip(r-4.4)RSNNS_0.4-17.zip(r-4.3)
RSNNS_0.4-17.tgz(r-4.4-x86_64)RSNNS_0.4-17.tgz(r-4.4-arm64)RSNNS_0.4-17.tgz(r-4.3-x86_64)RSNNS_0.4-17.tgz(r-4.3-arm64)
RSNNS_0.4-17.tar.gz(r-4.5-noble)RSNNS_0.4-17.tar.gz(r-4.4-noble)
RSNNS.pdf |RSNNS.html✨
RSNNS/json (API)

# Install 'RSNNS' in R:
install.packages('RSNNS', repos = c('https://cbergmeir.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/cbergmeir/rsnns/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

    On CRAN:

    42 exports 26 stars 4.71 score 1 dependencies 9 dependents 28 mentions 438 scripts 2.1k downloads

    Last updated 10 months agofrom:4bd8f1a4af. Checks:OK: 1 WARNING: 8. Indexed: yes.

    TargetResultDate
    Doc / VignettesOKSep 08 2024
    R-4.5-win-x86_64WARNINGSep 08 2024
    R-4.5-linux-x86_64WARNINGSep 08 2024
    R-4.4-win-x86_64WARNINGSep 08 2024
    R-4.4-mac-x86_64WARNINGSep 08 2024
    R-4.4-mac-aarch64WARNINGSep 08 2024
    R-4.3-win-x86_64WARNINGSep 08 2024
    R-4.3-mac-x86_64WARNINGSep 08 2024
    R-4.3-mac-aarch64WARNINGSep 08 2024

    Exports:analyzeClassificationart1art2artmapassozconfusionMatrixdecodeClassLabelsdenormalizeDatadlvqelmanencodeClassLabelsexportToSnnsNetFileextractNetInfogetNormParametersgetSnnsRDefinegetSnnsRFunctionTableinputColumnsjordanmatrixToActMapListmlpnormalizeDatanormTrainingAndTestSetoutputColumnsplotActMapplotIterativeErrorplotRegressionErrorplotROCrbfrbfDDAreadPatFilereadResFileresolveSnnsRDefinersnnsObjectFactorysavePatFilesetSnnsRSeedValueSnnsRObjectFactorysomsplitForTrainingAndTesttoNumericClassLabelstrainvectorToActMapweightMatrix

    Dependencies:Rcpp