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.

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Description file content

Package
neuralnet
Type
Package
Title
Training of Neural Networks
Version
1.33
Date
2016-08-05
Author
Stefan Fritsch [aut], Frauke Guenther [aut, cre], Marc Suling [ctb], Sebastian M. Mueller [ctb]
Maintainer
Frauke Guenther
Depends
R (>= 2.9.0)
Imports
grid, MASS, grDevices, stats, utils
Description
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.
License
GPL (>= 2)
NeedsCompilation
no
Packaged
2016-08-05 12:31:26 UTC; guenther
Repository
CRAN
Date/Publication
2016-08-16 12:08:44

install.packages('neuralnet')

1.33

a year ago

Frauke Guenther

GPL (>= 2)

Depends on

R (>= 2.9.0)

Imports

grid, MASS, grDevices, stats, utils

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