Implementation of Bidirectional Associative Memories Using the GBAM Model with Bias Terms

바이어스항이 있는 GBAM 모델을 이용한 양방향 연상메모리 구현

In this paper, we propose a new design method for bidirectional associative memories model with high error correction ratio. We extend the conventional GBAM model using bias terms and formulate a design procedure in the form of a constrained optimization problem. The constrained optimization problem is then transformed into a GEVP(generalized eigenvalue problem), which can be efficiently solved by recently developed interior point methods. The effectiveness of the proposed approach is illustrated by a example.