Constructing associative memories using neural networks

X. Xu, W. T. Tsai

Research output: Contribution to journalArticle

11 Scopus citations

Abstract

This paper proposes using a generalized Hopfield's model, also known as the McCulloch-Pitts model, as associative memories. The system always converges to the nearest stored words. This is not true for Hopfield's model. We also determine the information capacity of this generalized model. Our result is better than those in the literature.

Original languageEnglish (US)
Pages (from-to)301-309
Number of pages9
JournalNeural Networks
Volume3
Issue number3
DOIs
StatePublished - 1990

Keywords

  • Associative memory
  • Memory capacity
  • Neural network model

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Artificial Intelligence

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