Pittnet currently has four popular neural network paradigms: 
(1) backpropagation (BP) 
(2) Kohonen self-organizing 
(3) adaptive resonance theory I (ART I) 
(4) radial basis function (RBF). 
Pittnet takes ascii text files as inputs and the output files are also ascii text.
Pittnet is designed to run on any hardware including low end PC's. The source may 
be modified by the students to customize the neural networks or to include the neural
networks as components of larger software systems. The cascade correlation network
paradigm will be added to Pittnet in the near future. The developement of Pittnet was
 funded by the National Science Foundation (NSF) grant, CAREER, DMI 9502134.