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项目描述

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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2004-10-10 05:10 Back to release list
1.2.0

此版本增加了RPROP,Quickprop和批处理除了目前的增量训练。更多激活功能已经增加了快捷的连接已启用。
标签: Major feature enhancements
This release adds RPROP, Quickprop, and batch training in
addition to the current incremental training. More activation
functions have been added and shortcut connections have
been enabled.

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