FANN

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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 page http://fann.sourceforge.net/
Source tarball http://prdownloads.sourceforge.net/fann/fann-1.1.0.tar.gz?download
Source information http://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	<[email protected]>
Developer List	<[email protected]>
Bug List	<[email protected]>

Project contacts

Maintainers	Steffen Nissen <[email protected]>
Developers	Steffen Nissen <[email protected]>

Related information

Source repository	:pserver:[email protected]:/cvsroot/fann http://sourceforge.net/cvs/?group_id=93562
Interfaces	library
Source languages	C
Related programs	PAI

Entry information

License verified by	Janet Casey <[email protected]> on 2003-12-10
Entry compiled by	Janet Casey <[email protected]>

Categories

The copyright licensing notice below applies to this text. The software described in this text has its own copyright notice and license, which can usually be found in the distribution itself.

Permission is granted to copy, distribute, and/or modify this document under the terms of the GNU Free Documentation License, Version 1.1 or any later version published by the Free Software Foundation; with no Invariant Sections, with no Front-Cover Texts, and with no Back-Cover Texts. A copy of this license is included in the file COPYING.DOC.

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