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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.
Project Release infomations and Project Resources. Note that these informations are from this projects Freecode.com page and the downloads themselves may not be hosted with SourceForge.JP.
This release changes the create_array functions to indicate that the layer's array parameter is const (i.e., input only), adds a documented C++ wrapper and sample C++ program, and adds many more changes.
This release includes automatic building and training of ANN's using the Cascade2 algorithm. It also includes many new activation functions and a more flexible use of activation functions. A new file format is introduced that makes saving and loading of ANNs easier. This release should make it easier to use the FANN library and easier to get good results with the library.