Auto correlation associative memory by Universal Learning Networks (ULNs)

Abstract

In this paper, we propose a new auto correlation associative memory using Universal Learning Networks (ULNs). It enables not only to obtain associative memory by optimizing parameters but also to store more memories than conventional models by introducing "don't care nodes" or "sensitivity term". This is expected to settle some problems related to associative memory.