1 October 1992 Novel two-layer neural multiassociative memory model
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Abstract
A novel, two-layer VLSI realizable, modular and expandable neural network multiassociative memory model is proposed. When compared to the Hopfield model, it requires 0(N) connections for N-bit long vectors; yields improved error correction and storage capabilities and a faster convergence rate, avoids the storage of false memories, and possesses analogies to biological neural networks.
Abdul Aziz Bhatti, Abdul Aziz Bhatti, Nalin Zhou, Nalin Zhou, } "Novel two-layer neural multiassociative memory model," Optical Engineering 31(10), (1 October 1992). https://doi.org/10.1117/12.59883 . Submission:
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