A software simulation package was developed to facilitate the analysis of a fuzzy logic tracking system constructed by first training a neural network. The adaptive vector quantization neural network used a competitive learning algorithm to classify control data from a controller in a noisy environment. The neural network memory generated rules for a fuzzy controller by mapping the state of the network into a predetermined fuzzy database. The software is intended to be expanded to allow further analysis of neural dynamics and to compare the performance of the resulting fuzzy controller to conventional controllers
