neuralnet v1.44.2


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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
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
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Type Package
Date 2019-02-07
License GPL (>= 2)
RoxygenNote 6.1.0
NeedsCompilation no
Packaged 2019-02-07 21:47:31 UTC; wright
Repository CRAN
Date/Publication 2019-02-07 22:20:07 UTC

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