Three-Layer Symmetrical and Asymmetrical Associative Memories for Image Applications

Abstract

In this paper, three-layer bidirectional symmetrical and asymmetrical associative memories are presented. The networks possess desired structural features of a bidirectional associative memory and a three-layer feedforward neural network and are able to learn and recall binary alphanumeral patterns and gray level images. The network allows two modes of memory recall, namely, recalling by a patternpair from both the input and the output layers, and recalling by single-pattern from either the input layer or the output layer. Simulation results on alpha-numeral and face image types of pattern learning and recall problems are provided.