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FANN
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.
Last updated 7 Jan, 2008
Versions
1.1.0
1.1.0 stable released 2004-04-20
- Released: 20 Apr, 2004
- Code Maturity: Stable
- Source Archive: http://prdownloads.sourceforge.net/fann/fann-1....
- Licenses: LGPLv2.1orlater
- Interfaces: Library
User Community and Support
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
General Resources
Support Resources
Development
Developer Resources
- VCS Checkout Command:
:pserver:anonymous@cvs.sourceforge.net:/cvsroot/fann - VCS Repository Webview