neuralnet: Training of Neural Networks (original) (raw)
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 |
| 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: | |
| CRAN checks: | neuralnet results |
Documentation:
Downloads:
Reverse dependencies:
| Reverse depends: | MARSANNhybrid, quarrint |
|---|---|
| Reverse imports: | AriGaMyANNSVR, CEEMDANML, ConvertPar, DeepLearningCausal, EventDetectR, FRI, FWRGB, Imneuron, ImNN, LilRhino, Modeler, nnfor, reddPrec, RSDA, SignacX, trackdem, traineR, WaveletML |
| Reverse suggests: | flowml, gemR, innsight, mcboost, misspi, mlr, NeuralNetTools, NeuralSens, plotmo, qeML, TrafficBDE |
| Reverse enhances: | vip |
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