Hardware Implementation of the ART-2 Classifier

The article is devoted to the study of ART classifiers representing a computational model based on the principles of Adaptive Resonance Theory. The basic architecture according to which it is possible to realize different variants of classifiers is shown, the algorithm of its operation is considered, the necessary computational modules are described and their hardware realization is given. The implementation of the classifier is performed using the IntelFPGA PLD.