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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>
12 lines
710 B
Plaintext
12 lines
710 B
Plaintext
Fast Artificial Neural Network Library is a free open source neural network
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library, which implements multilayer artificial neural networks in C with
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support for both fully connected and sparsely connected networks.
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Cross-platform execution in both fixed and floating point are supported. It
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includes a framework for easy handling of training data sets. It is easy to
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use, versatile, well documented, and fast. PHP, C++, .NET, Ada, Python, Delphi,
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Octave, Ruby, Pure Data and Mathematica bindings are available. A reference
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manual accompanies the library with examples and recommendations on how to use
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the library. A graphical user interface is also available for the library.
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WWW: http://leenissen.dk/fann/
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