Training An Associative Memory Model for Character Recognition

摘要

In this paper, a new algorithm to determine the adaptive threshold formula for the trinary associative memory model is presented. The optimal threshold is chosen to yield the best performance. Different threshold parameters have been investigated to obtain the optimal range of threshold parameters. In order to validate our performance model, character recognition problems are investigated.