neuralnet v1.33

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by Frauke Guenther

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.

Functions in neuralnet

Name Description
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
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Type Package
Date 2016-08-05
License GPL (>= 2)
NeedsCompilation no
Packaged 2016-08-05 12:31:26 UTC; guenther
Repository CRAN
Date/Publication 2016-08-16 12:08:44

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