The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
| 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, EventDetectR, FRI, FSinR, FWRGB, ImNN, LilRhino, Modeler, nnfor, OptiSembleForecasting, RSDA, SignacX, trackdem, traineR, WaveletML |
| Reverse suggests: | flowml, fscaret, innsight, mcboost, misspi, mlr, NeuralNetTools, NeuralSens, plotmo, qeML, TrafficBDE |
| Reverse enhances: | vip |
Please use the canonical form https://CRAN.R-project.org/package=neuralnet to link to this page.
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.
Health stats visible at Monitor.