Bidirectional associative memories
IEEE Transactions on Systems, Man and Cybernetics
Better learning for bidirectional associative memory
Neural Networks
A Bidirectional Associative Memory Based on Optimal Linear Associative Memory
IEEE Transactions on Computers
A general model for bidirectional associative memories
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An analysis of high-capacity discrete exponential BAM
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
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A classical bidirectional associative memory (BAM) suffers from low storage capacity and abundance of spurious memories though it has the properties of good generalization and noise immunity. In this paper, Hamming distance in recall procedure of usual asymmetrical BAM is replaced with modified Hamming distance by introducing weighting matrix into connection matrix. This generalization is validated to increase storage capacity, to lessen spurious memories, to enhance noise immunity, and to enable multiple association using simulation work.