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Training of neural networks using backpropagation, resilient backpropagation with (Riedmiller, 1994) or without weight backtracking (Riedmiller and Braun, 1993) or the modified globally convergent version by Anastasiadis et al. (2005). The package allows flexible settings through custom-choice of error and activation function. Furthermore, the calculation of generalized weights (Intrator O & Intrator N, 1993) is implemented.
Version: | 1.44.2 |
Depends: | R (≥ 2.9.0) |
Imports: | grid, MASS, grDevices, stats, utils, Deriv |
Suggests: | testthat |
Published: | 2019-02-07 |
DOI: | 10.32614/CRAN.package.neuralnet |
Author: | Stefan Fritsch [aut], Frauke Guenther [aut], Marvin N. Wright [aut, cre], Marc Suling [ctb], Sebastian M. Mueller [ctb] |
Maintainer: | Marvin N. Wright <wright at leibniz-bips.de> |
BugReports: | https://github.com/bips-hb/neuralnet/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://github.com/bips-hb/neuralnet |
NeedsCompilation: | no |
Materials: | NEWS |
CRAN checks: | neuralnet results |
Reference manual: | neuralnet.pdf |
Package source: | neuralnet_1.44.2.tar.gz |
Windows binaries: | r-devel: neuralnet_1.44.2.zip, r-release: neuralnet_1.44.2.zip, r-oldrel: neuralnet_1.44.2.zip |
macOS binaries: | r-release (arm64): neuralnet_1.44.2.tgz, r-oldrel (arm64): neuralnet_1.44.2.tgz, r-release (x86_64): neuralnet_1.44.2.tgz, r-oldrel (x86_64): neuralnet_1.44.2.tgz |
Old sources: | neuralnet archive |
Reverse depends: | MARSANNhybrid, quarrint |
Reverse imports: | AriGaMyANNSVR, CEEMDANML, ConvertPar, DeepLearningCausal, EventDetectR, FRI, FWRGB, Imneuron, ImNN, LilRhino, Modeler, nnfor, RSDA, SignacX, trackdem, traineR, WaveletML |
Reverse suggests: | flowml, fscaret, innsight, mcboost, misspi, mlr, NeuralNetTools, NeuralSens, plotmo, qeML, TrafficBDE |
Reverse enhances: | vip |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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