Fast Artificial Neural Network Library 2.1.0 Beta

A multi-layer artificial neural network library
Fast Artificial Neural Network Library 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, Python, Delphi and Mathematica bindings are available.

Main 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 (An easy to use reference manual, a 50 page university report describing the implementation considerations etc. and an introduction article)
  • 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 (simple train example and simple test example)
  • 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
  • Graphical Interface
  • C Bindings
  • PHP Extension
  • Python Bindings
  • Delphi Bindings
  • .NET Bindings
  • Mathematica Extension
  • Octave Extension
  • Ruby Bindings
  • Pure Data Bindings
  • Debian package

last updated on:
October 8th, 2011, 22:16 GMT
price:
FREE!
developed by:
Steffen Nissen
homepage:
fann.sourceforge.net
license type:
LGPL (GNU Lesser General Public License) 
category:
ROOT \ Science and Engineering \ Artificial Intelligence

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What's New in This Release:
  • This version 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.
read full changelog

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