FCNN4R: Fast Compressed Neural Networks for R

Provides an interface to kernel routines from the FCNN C++ library. FCNN is based on a completely new Artificial Neural Network representation that offers unmatched efficiency, modularity, and extensibility. FCNN4R provides standard teaching (backpropagation, Rprop, simulated annealing, stochastic gradient) and pruning algorithms (minimum magnitude, Optimal Brain Surgeon), but it is first and foremost an efficient computational engine. Users can easily implement their algorithms by taking advantage of fast gradient computing routines, as well as network reconstruction functionality (removing weights and redundant neurons, reordering inputs, merging networks). Networks can be exported to C functions in order to integrate them into virtually any software solution.

Version: 0.6.2
Depends: R (≥ 3.0), stats, graphics, methods, Rcpp
Published: 2016-03-09
Author: Grzegorz Klima
Maintainer: Grzegorz Klima <gklima at users.sourceforge.net>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: FCNN4R citation info
In views: MachineLearning
CRAN checks: FCNN4R results


Reference manual: FCNN4R.pdf
Package source: FCNN4R_0.6.2.tar.gz
Windows binaries: r-devel: FCNN4R_0.6.2.zip, r-release: FCNN4R_0.6.2.zip, r-oldrel: FCNN4R_0.6.2.zip
OS X Mavericks binaries: r-release: FCNN4R_0.6.2.tgz, r-oldrel: FCNN4R_0.6.2.tgz
Old sources: FCNN4R archive


Please use the canonical form https://CRAN.R-project.org/package=FCNN4R to link to this page.