Difference between revisions of "FANN"
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|Short description=Implements multilayer feedforward ANNs much faster than other libraries | |Short description=Implements multilayer feedforward ANNs much faster than other libraries | ||
|Full description=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. | |Full description=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. | ||
+ | |Homepage URL=http://fann.sourceforge.net/ | ||
|User level=none | |User level=none | ||
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|VCS checkout command=:pserver:anonymous@cvs.sourceforge.net:/cvsroot/fann | |VCS checkout command=:pserver:anonymous@cvs.sourceforge.net:/cvsroot/fann | ||
|Computer languages=C | |Computer languages=C | ||
|Documentation note=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 | |Documentation note=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 | ||
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|Related projects=PAI | |Related projects=PAI | ||
|Keywords=artificial intelligence,floating point,neural network,fann,feedforward,fully connected,sparsely connected,fixed point,integer overflow | |Keywords=artificial intelligence,floating point,neural network,fann,feedforward,fully connected,sparsely connected,fixed point,integer overflow | ||
− | | | + | |Version identifier=2.2.0 |
− | |Last review by= | + | |Version date=2012/01/24 |
− | |Last review date= | + | |Version status=stable |
+ | |Version download=https://sourceforge.net/projects/fann/files/fann/2.2.0/FANN-2.2.0-Source.tar.gz/download | ||
+ | |Version comment=2.2.0 stable released 2012-01-24 | ||
+ | |Last review by=Alejandroindependiente | ||
+ | |Last review date=2017/02/25 | ||
|Submitted by=Database conversion | |Submitted by=Database conversion | ||
|Submitted date=2011-04-01 | |Submitted date=2011-04-01 | ||
− | | | + | |Status= |
− | | | + | |Is GNU=No |
− | | | + | |License verified date=2003-12-10 |
− | | | + | }} |
+ | {{Project license | ||
+ | |License=LGPLv2.1orlater | ||
+ | |License verified by=Janet Casey | ||
|License verified date=2003-12-10 | |License verified date=2003-12-10 | ||
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}} | }} | ||
{{Person | {{Person | ||
+ | |Real name=Steffen Nissen | ||
|Role=Maintainer | |Role=Maintainer | ||
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|Email=lukesky@diku.dk | |Email=lukesky@diku.dk | ||
|Resource URL= | |Resource URL= | ||
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|Use=science | |Use=science | ||
}} | }} | ||
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Latest revision as of 11:39, 25 February 2017
FANN
http://fann.sourceforge.net/
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.
Download
https://sourceforge.net/projects/fann/files/fann/2.2.0/FANN-2.2.0-Source.tar.gz/download
Categories
Licensing
License
Verified by
Verified on
Notes
Leaders and contributors
Contact(s) | Role |
---|---|
Steffen Nissen | Maintainer |
Resources and communication
Audience | Resource type | URI |
---|---|---|
Bug Tracking,Developer,Support | mailto:lukesky@diku.dk | |
Developer | VCS Repository Webview | http://sourceforge.net/cvs/?group_id=93562 |
Software prerequisites
Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the page “GNU Free Documentation License”.
The copyright and license notices on this page only apply to the text on this page. Any software or copyright-licenses or other similar notices described in this text has its own copyright notice and license, which can usually be found in the distribution or license text itself.