neuralnet: Training of Neural Networks

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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.

Author
Stefan Fritsch [aut], Frauke Guenther [aut, cre], Marc Suling [ctb], Sebastian M. Mueller [ctb]
Date of publication
2016-08-16 12:08:44
Maintainer
Frauke Guenther <guenther@leibniz-bips.de>
License
GPL (>= 2)
Version
1.33

View on CRAN

Man pages

compute
Computation of a given neural network for given covariate...
confidence.interval
Calculates confidence intervals of the weights
gwplot
Plot method for generalized weights
neuralnet
Training of neural networks
neuralnet-package
Training of Neural Networks
plot.nn
Plot method for neural networks
prediction
Summarizes the output of the neural network, the data and the...

Files in this package

neuralnet
neuralnet/NAMESPACE
neuralnet/R
neuralnet/R/compute.r
neuralnet/R/neuralnet.r
neuralnet/R/plot.nn.r
neuralnet/R/confidence.interval.r
neuralnet/R/prediction.r
neuralnet/R/gwplot.r
neuralnet/MD5
neuralnet/DESCRIPTION
neuralnet/man
neuralnet/man/neuralnet.Rd
neuralnet/man/prediction.Rd
neuralnet/man/compute.Rd
neuralnet/man/gwplot.Rd
neuralnet/man/neuralnet-package.Rd
neuralnet/man/plot.nn.Rd
neuralnet/man/confidence.interval.Rd