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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>
4 lines
191 B
Plaintext
4 lines
191 B
Plaintext
MD5 (fann-2.1.0beta.zip) = 9c53d96ce415c927cb97b8f9de2ea881
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SHA256 (fann-2.1.0beta.zip) = c24171b5b9c87946bd2f50045cc8dbd0121629fe426615501db14e6043e4a141
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SIZE (fann-2.1.0beta.zip) = 4033198
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