neuralnet: Training of Neural Networks
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 |
Documentation:
Downloads:
Reverse dependencies:
| 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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