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.


News

Version 1.44.2
  • Make compute() return the same as in previous versions
  • Soft-deprecate compute() for now
Version 1.44.1
  • Add support for dots in formula
  • Allow direct multiclass outcomes with factors
Version 1.44.0
  • New maintainer: Marvin N.Wright
  • Add a predict() function to replace compute()
  • Use Deriv package for symbolic derivation
  • Many internal changes to improve code quality
  • Bug fixes

Reference manual

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install.packages("neuralnet")

1.44.2 by Marvin N. Wright, a month ago


https://github.com/bips-hb/neuralnet


Report a bug at https://github.com/bips-hb/neuralnet/issues


Browse source code at https://github.com/cran/neuralnet


Authors: Stefan Fritsch [aut] , Frauke Guenther [aut] , Marvin N. Wright [aut, cre] , Marc Suling [ctb] , Sebastian M. Mueller [ctb]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports grid, MASS, grDevices, stats, utils, Deriv

Suggests testthat


Imported by Modeler, RTransProb, TrafficBDE, nnfor, predictoR, spartan, trackdem.

Depended on by quarrint.

Suggested by NeuralNetTools, fscaret, mlr, nnetpredint, plotmo.


See at CRAN