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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. C++, PHP, Python, Delphi, and Mathematica bindings are available.
GNU Library or Lesser General Public License (LGPL)
There are several graphical (and one command-line) interfaces for FANN.
FANNTool is a highly recommended and easy to use GUI for the FANN library. FANNTool also supports a few more advanced functions for automatically setting the FANN parameters.
NeuralView is a neural network simulator, with a multi-platform graphical interface.
FannExplorer is a portable graphical environment for developing, training and testing neural networks. It supports animation of the training process. The fannExplorer provides an easy-to-use browser based interface to the fast artificial neural network (fann) library. It requires a web browser with JavaScript, Flash version 7 or later and fannKernel.
sfann s a command-line tool that provides an easy way of learning, testing and running artificial neural networks (ANN). It uses the Fast Artificial Neural Network library (FANN) for learning and testing.
© AIKernel 2011
21.05.2011 - 21.05.2011