# neuralnet v1.33

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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 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 No Results!