Description: Provides several functions to create and manipulate fuzzy
cognitive maps. It is based on 'FCMapper' for Excel, distributed at <http://
www.fcmappers.net/joomla/>, developed by Michael Bachhofer and Martin Wildenberg.
Maps are inputted as adjacency matrices. Attributes of the maps and the
equilibrium values of the concepts (including with user-defined constrained
values) can be calculated. The maps can be graphed with a function that calls
'igraph'. Multiple maps with shared concepts can be aggregated.

Title: Fast Compressed Neural Networks for R
Description: The FCNN4R package 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) 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
Depends: R (>= 3.0), stats, graphics, methods, Rcpp

Package: FCNN4R
Type: Package
Title: Fast Compressed Neural Networks for R
Version: 0.5.0
Date: 2015-10-12
Author: Grzegorz Klima <gklima@users.sourceforge.net>
Maintainer: Grzegorz Klima <gklima@users.sourceforge.net>
Description: 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) 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).
Depends: R (>= 3.0), stats, graphics, methods, Rcpp
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2015-10-12 07:42:16 UTC; chaos
Repository: CRAN
Date/Publication: 2015-10-12 10:15:25