Package: neuralnet 1.44.6

Marvin N. Wright

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.

Authors:Stefan Fritsch [aut], Frauke Guenther [aut], Marvin N. Wright [aut, cre], Marc Suling [ctb], Sebastian M. Mueller [ctb]

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neuralnet.pdf |neuralnet.html
neuralnet/json (API)
NEWS

# Install 'neuralnet' in R:
install.packages('neuralnet', repos = c('https://bips-hb.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/bips-hb/neuralnet/issues

On CRAN:

5 exports 30 stars 6.05 score 2 dependencies 38 dependents 37 mentions 2.6k scripts 25.7k downloads

Last updated 4 years agofrom:09815356b9. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 23 2024
R-4.5-winOKAug 23 2024
R-4.5-linuxOKAug 23 2024
R-4.4-winOKAug 23 2024
R-4.4-macOKAug 23 2024
R-4.3-winOKAug 23 2024
R-4.3-macOKAug 23 2024

Exports:computeconfidence.intervalgwplotneuralnetprediction

Dependencies:DerivMASS