Fast Artificial Neural Network Library is a
free open source neural network library, which implements multilayer
artificial neural networks in C with support for both fully connected
and sparsely connected networks. Cross-platform execution is supported.
FANN(Fast Artificial Neural Network)
Fast Artificial Neural Network Library is a free open source neural network 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, Prolog
Pure Data and Mathematica bindings are available.
FANN Features:
- Multilayer Artificial Neural Network Library in C
- Backpropagation training (RPROP, Quickprop, Batch, Incremental)
- Evolving topology training which dynamically builds and trains the ANN (Cascade2)
- Easy to use (create, train and run an ANN with just three function calls)
- Fast (up to 150 times faster execution than other libraries)
- Versatile (possible to adjust many parameters and features on-the-fly)
- Well documented
- Cross-platform
(configure script for linux and unix, dll files for windows, project
files for MSVC++ and Borland compilers are also reported to work)
- Several different activation functions implemented (including stepwise linear functions for that extra bit of speed)
- Easy to save and load entire ANNs
- Several easy to use examples
- Can use both floating point and fixed point numbers (actually both float, double and int are available)
- Cache optimized (for that extra bit of speed)
- Open source (licenced under LGPL)
- Framework for easy handling of training data sets
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