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Associative-memory model based on neural networks: modification of Hopfield model

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Abstract

The problem with the Hopfield associative-memory model caused by an imbalance between the number of ones and zeros in each stored vector is studied, and a modification of the Hopfield model that works well irrespective of the number of ones (or zeros) is proposed. This modified model can be implemented with no increase in memory.

© 1988 Optical Society of America

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