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neuralnet (version 1.44.2)

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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Install

install.packages('neuralnet')

Monthly Downloads

16,337

Version

1.44.2

License

GPL (>= 2)

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Last Published

February 7th, 2019

Functions in neuralnet (1.44.2)

compute

Deprecated function
neuralnet

Training of neural networks
plot.nn

Plot method for neural networks
gwplot

Plot method for generalized weights
neuralnet-package

Training of Neural Networks
predict.nn

Neural network prediction
prediction

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

Calculates confidence intervals of the weights