COMPARISON OF A PIPELINED 'BEST MATCH' CONTENT ADDRESSABLE MEMORY WITH NEURAL NETWORKS.

L. T. Clark, R. O. Grondin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Neural networks in a variety of configurations have demonstrated the ability to choose rapidly the stored item that most closely matches a given input. A significant drawback to such an approach from an integrated circuit standpoint is the large number of interconnections required between the individual elements. The authors have designed and fabricated a memory device with the above feature that is capable of significant data throughput rates. An overview of the architecture is presented, and its characteristics are compared to that of other neural networks through simulation.

Original languageEnglish (US)
Title of host publicationUnknown Host Publication Title
EditorsMaureen Caudill, Charles T. Butler, San Diego Adaptics
Place of PublicationSan Diego, CA, USA
PublisherSOS Printing
StatePublished - 1987

ASJC Scopus subject areas

  • Engineering(all)

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