neuralnet (1.32)

1 user

Training of neural networks.

http://cran.r-project.org/web/packages/neuralnet

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.

Maintainer: Frauke Guenther
Author(s): Stefan Fritsch, Frauke Guenther <guenther@bips.uni-bremen.de>, following earlier work by Marc Suling

License: GPL (>= 2)

Uses: MASS
Reverse suggests: caret, fscaret

Released almost 2 years ago.


4 previous versions

Ratings

Overall:

  3.0/5 (2 votes)

Documentation:

  3.0/5 (2 votes)

Log in to vote.

Reviews

No one has written a review of neuralnet yet. Want to be the first? Write one now.


Related packages: AMORE, grnnR, nnet, monmlp, qrnn, RSNNS(20 best matches, based on common tags.)


Search for neuralnet on google, google scholar, r-help, r-devel.

Visit neuralnet on R Graphical Manual.