netGEN - A Parallel System Generating Problem-Adapted Topologies of Artificial Neural Networks by means of Genetic Algorithms
Artificial neural networks (ANNs) have shown to perform satisfactorily for pattern recognition tasks. It has also been shown that ANNs are superior to some of the classical statistical methods in pattern classification, but
little is known how to design the ANN. A genetic algorithm (GA) based method can be used to determine the ANN architecture for a specific task. We describe
the netGEN system which is an existing implementation of a GA evolving ANNs in
parallel. A simple pattern recognition task is solved so as to demonstrate the performance of netGEN.
Helmut A. Mayer
<helmut@cosy.sbg.ac.at>
Last modified: Mon Jan 5 1998