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neuralnet  

Training of Neural Networks
View on CRAN: Click here


Download and install neuralnet package within the R console
Install from CRAN:
install.packages("neuralnet")

Install from Github:
library("remotes")
install_github("cran/neuralnet")

Install by package version:
library("remotes")
install_version("neuralnet", "1.44.2")



Attach the package and use:
library("neuralnet")
Maintained by
Marvin N. Wright
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2008-04-15
Latest Update: 2019-02-07
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.
How to cite:
Marvin N. Wright (2008). neuralnet: Training of Neural Networks. R package version 1.44.2, https://cran.r-project.org/web/packages/neuralnet. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:24), 1.0 (2008-04-15 19:28), 1.1 (2008-05-07 17:05), 1.2 (2008-10-08 17:43), 1.3 (2010-02-23 12:30), 1.31 (2010-10-11 21:14), 1.32 (2012-09-20 11:35), 1.33 (2016-08-16 12:08)
Other packages that cited neuralnet R package
View neuralnet citation profile
Other R packages that neuralnet depends, imports, suggests or enhances
Complete documentation for neuralnet
Functions, R codes and Examples using the neuralnet R package
Some associated functions: compute . confidence.interval . gwplot . neuralnet-package . neuralnet . plot.nn . predict.nn . prediction . 
Some associated R codes: convert_functions.R . fit_neuralnet.R . neuralnet-package.R . predict.R . print.R .  Full neuralnet package functions and examples
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