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README
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Python extension dependencies
SWIG
Fast Artificial Neural Network Library (fann)
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. Bindings to other programming languages
and a GUI are also available.
A reference manual accompanies the library with examples and
recommendations on how to use the library.
The reference manual is available at: http://leenissen.dk/fann/html/index.html
A university report about the implementation of version 1.0 is also
available, please see:
http://prdownloads.sourceforge.net/fann/fann_doc_complete_1.0.pdf?download
An article about how to use the library is available at: doc/fann_en.pdf
For installation do the following:
type command: ./configure
type command: make
Now you would like to be root in order to install
type command: su
type command: make install
type command: exit
Now you are not root anymore, and you can test the library.
type command: cd examples
type command: make runtest
For further installation instructions see: INSTALL
For example programs please see:
examples/simple_train.c
examples/simple_test.c
For more information and downloads, please go to:
http://fann.sourceforge.net/