Bidirectional associative memories
IEEE Transactions on Systems, Man and Cybernetics
Digital Design of Discrete Exponential BidirectionalAssociative Memory
Journal of VLSI Signal Processing Systems
Morphological bidirectional associative memories
Neural Networks
IEEE Transactions on Computers
A new strategy for designing bidirectional associative memories
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
A feedforward bidirectional associative memory
IEEE Transactions on Neural Networks
Encoding strategy for maximum noise tolerance bidirectional associative memory
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
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Most models of Bidirectional Associative Memories intend to achieve that all trained patterns correspond to stable states; however, this has not been possible. Also, none of the former models has been able to recall all the trained patterns. A new model which appeared recently, called Alpha-Beta Bidirectional Associative Memory (BAM), recalls 100% of the trained patterns, without error. Also, the model is non iterative and has no stability problems. In this work the analysis of time and space complexity of the Alpha-Beta BAM is presented.