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專案描述

Fast Artificial Neural Network Library is a neural network library that 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. C++, Perl, PHP, .NET, Python, Delphi, Octave, 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.

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2004-03-31 23:09 Back to release list
1.1.0

This release adds PHP and Python bindings, MSVC++ project files, and deb/RPM packages. An extensive reference manual is added, as well as several new features and activation functions.
標籤: Major feature enhancements

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