Digital Design of Discrete Exponential BidirectionalAssociative Memory
Journal of VLSI Signal Processing Systems
A Bayesian interpretation for the exponential correlation associative memory
Pattern Recognition Letters
Storage Capacity of the Exponential Correlation Associative Memory
Neural Processing Letters
Generalized asymmetrical bidirectional associative memory for multiple association
Applied Mathematics and Computation
A network processing model for address learning and IP recognition
Information Sciences—Informatics and Computer Science: An International Journal
Some experiments around a neural network for multimodal associations
AIA'06 Proceedings of the 24th IASTED international conference on Artificial intelligence and applications
A Bidirectional Hetero-Associative Memory for True-Color Patterns
Neural Processing Letters
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An exponential bidirectional associative memory (eBAM) using an exponential encoding scheme is discussed. It has a higher capacity for pattern pair storage than conventional BAMs. A new energy function is defined. The associative memory takes advantage of the exponential nonlinearity in the evolution equations such that the signal-to-noise ratio (SNR) is significantly increased. The energy of the eBAM decreases as the recall process proceeds, ensuring the stability of the system. The increase of SNR consequently enhances the capacity of the BAM. The capacity of the exponential BAM is estimated