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 customchoice of error and activation function. Furthermore, the calculation of generalized weights (Intrator O & Intrator N, 1993) is implemented.
Author  Stefan Fritsch [aut], Frauke Guenther [aut, cre], Marc Suling [ctb], Sebastian M. Mueller [ctb] 
Date of publication  20160816 12:08:44 
Maintainer  Frauke Guenther <guenther@leibnizbips.de> 
License  GPL (>= 2) 
Version  1.33 
Package repository  View on CRAN 
Installation  Install the latest version of this package by entering the following in R:



All man pages Function index File listing
Man pages  

compute: Computation of a given neural network for given covariate...  
confidence.interval: Calculates confidence intervals of the weights  
gwplot: Plot method for generalized weights  
neuralnet: Training of neural networks  
neuralnetpackage: Training of Neural Networks  
plot.nn: Plot method for neural networks  
prediction: Summarizes the output of the neural network, the data and the... 
Functions  

backprop  Source code 
calculate.data.result  Source code 
calculate.delta  Source code 
calculate.generalized.weights  Source code 
calculate.gradients  Source code 
calculate.information.matrices  Source code 
calculate.neuralnet  Source code 
calculate.predictions  Source code 
compute  Man page Source code 
compute.net  Source code 
confidence.interval  Man page Source code 
differentiate  Source code 
display  Source code 
draw.text  Source code 
generate.initial.variables  Source code 
generate.output  Source code 
generate.rownames  Source code 
generate.startweights  Source code 
gwplot  Man page Source code 
minus  Source code 
neuralnet  Man page Source code 
neuralnetpackage  Man page 
plot.nn  Man page Source code 
plus  Source code 
prediction  Man page Source code 
print.nn  Man page Source code 
relist  Source code 
remove.intercept  Source code 
rprop  Source code 
type  Source code 
varify.variables  Source code 
Files  

NAMESPACE
 
R
 
R/compute.r  
R/neuralnet.r  
R/plot.nn.r  
R/confidence.interval.r  
R/prediction.r  
R/gwplot.r  
MD5
 
DESCRIPTION
 
man
 
man/neuralnet.Rd  
man/prediction.Rd  
man/compute.Rd  
man/gwplot.Rd  
man/neuralnetpackage.Rd  
man/plot.nn.Rd  
man/confidence.interval.Rd 
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