Genetic algorithms as a tool for the analysis of adaptive resonance theory network training sets
Thomas P. Caudell · 2003
Genetic algorithms (GAs) are used to study the basins of attraction for adaptive resonances theory (ART) neural networks. Two GAs are used to study attractors formed by the 'bottom-up' and the 'top-down' subsystems of a single binary input/binary output ART (ART1) neural network. The author presents results based on a simple training data set consisting of two distributions of centered rectangles. These results will ultimately aid in the refinement of training sets being used in neural information retrieval applications.>