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0.4-17 by Christoph Bergmeir, 5 months ago

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https://github.com/cbergmeir/RSNNS

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

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

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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)

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Documentation:   PDF Manual  

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LGPL (>= 2) | file LICENSE license

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Depends on methods, Rcpp

Suggests scatterplot3d, NeuralNetTools

Linking to Rcpp

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Imported by FRI, TSPred, noisemodel, rasclass, semiArtificial.

Suggested by FSinR, NeuralNetTools, NeuralSens, flowml, fscaret, mlr.

Enhanced by vip.

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See at CRAN