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neuralnet (version 1.33)

Training of Neural Networks

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.

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Version

Install

install.packages('neuralnet')

Monthly Downloads

19,311

Version

1.33

License

GPL (>= 2)

Maintainer

Frauke Guenther

Last Published

August 16th, 2016

Functions in neuralnet (1.33)

confidence.interval

Calculates confidence intervals of the weights
prediction

Summarizes the output of the neural network, the data and the fitted values of glm objects (if available)
neuralnet

Training of neural networks
plot.nn

Plot method for neural networks
neuralnet-package

Training of Neural Networks
compute

Computation of a given neural network for given covariate vectors
gwplot

Plot method for generalized weights