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FANN - Implements multilayer feedforward ANNs much faster than other libraries

Fast Artificial Neural Network Library (fann) implements multi-layer feedforward networks that support both fully connected and sparsely connected networks. It supports execution in fixed point arithmetic to allow for fast execution on systems with no floating point processor. To overcome the problems of integer overflow, the library calculates a position of the decimal point after training and guarantees that integer overflow cannot occur with this decimal point.

FANN is designed to be fast, versatile, and easy to use. Several benchmarks have been executed to test its performance. It is significantly faster than other libraries on systems without a floating point processor, and comparable to other highly optimized libraries on systems with a floating point processor.

Obtaining

Web pagehttp://fann.sourceforge.net/
Source tarball http://prdownloads.sourceforge.net/fann/fann-1.1.0.tar.gz?download
Source informationhttp://sourceforge.net/project/showfiles.php?group_id=93562
Version 1.1.0 (stable) released on 2004-04-20
Licensed under LGPLv2.1orlater.
This is not a GNU package.

Documentation

User guide available in HTML format from http://fann.sourceforge.net/report/node7.html; Complete manual available in PDF format from http://prdownloads.sourceforge.net/fann/fann_doc_complete_1.0.pdf?download; Complete manual also available in HTML from http://fann.sourceforge.net/report/report.html
Support contacts

Help List<lukesky@diku.dk>
Developer List<lukesky@diku.dk>
Bug List<lukesky@diku.dk>

Project contacts

Maintainers
Developers

Related information

Source repository:pserver:anonymous@cvs.sourceforge.net:/cvsroot/fann http://sourceforge.net/cvs/?group_id=93562
Interfaceslibrary
Source languagesC
Related programsPAI

Entry information

License verified byJanet Casey <jcasey@gnu.org> on 2003-12-10
Entry compiled byJanet Casey <jcasey@gnu.org>

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