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Port details
fann 2.1.0b math on this many watch lists=0 search for ports that depend on this port
A free open source neural network library
Maintained by: tzhuan@csie.org search for ports maintained by this maintainer
Port Added: 06 Mar 2007 19:16:27
Also Listed In: science


Fast Artificial Neural Network Library is a free open source neural network
library, which implements multilayer artificial neural networks in C with
support for both fully connected and sparsely connected networks.
Cross-platform execution in both fixed and floating point are supported. It
includes a framework for easy handling of training data sets. It is easy to
use, versatile, well documented, and fast. PHP, C++, .NET, Ada, Python, Delphi,
Octave, Ruby, Pure Data and Mathematica bindings are available. A reference
manual accompanies the library with examples and recommendations on how to use
the library. A graphical user interface is also available for the library.

WWW:	http://leenissen.dk/fann/
CVSWeb : Sources : Main Web Site : Distfiles Availability : PortsMon

To install the port: cd /usr/ports/math/fann/ && make install clean
To add the package: pkg_add -r fann


Configuration Options
     No options to configure

Master Sites:
http://heanet.dl.sourceforge.net/sourceforge/fann/
http://nchc.dl.sourceforge.net/sourceforge/fann/
http://kent.dl.sourceforge.net/sourceforge/fann/
http://easynews.dl.sourceforge.net/sourceforge/fann/
http://ufpr.dl.sourceforge.net/sourceforge/fann/
http://umn.dl.sourceforge.net/sourceforge/fann/
ftp://ftp.FreeBSD.org/pub/FreeBSD/ports/distfiles/

Number of commits found: 1

Commit History - (may be incomplete: see CVSWeb link above for full details)
DateByDescription
06 Mar 2007 19:15:43
Original commit files touched by this commit  2.1.0b
miwi search for other commits by this committer
Fast Artificial Neural Network Library is a free open source neural network
library, which implements multilayer artificial neural networks in C with
support for both fully connected and sparsely connected networks.
Cross-platform execution in both fixed and floating point are supported. It
includes a framework for easy handling of training data sets. It is easy to
use, versatile, well documented, and fast. PHP, C++, .NET, Ada, Python, Delphi,
Octave, Ruby, Pure Data and Mathematica bindings are available. A reference
manual accompanies the library with examples and recommendations on how to use
the library. A graphical user interface is also available for the library.

WWW:    http://leenissen.dk/fann/

PR:             ports/109853
Submitted by:   Tz-Huan Huang <tzhuan at csie.org>

Number of commits found: 1

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