Neural net based pattern recognition on the graph search machine

Abstract

The Hopfield net algorithm for pattern recognition has been implemented on a single GSM (graph search machine). The authors report on the methods used to implement the algorithm as well as on the algorithm performance as compared with competing architectures. It is shown that the GSM provides a viable alternative architecture for neural net research and development.<>