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Neural networks and chip design

Morgenstern, Ingo (1987) Neural networks and chip design. Zeitschrift für Physik B; Condensed matter 67 (2), pp. 265-270.

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Abstract

I present an abstraction of the Hopfield-model for neural networks which is suitable for physical chip design using commerically available two-dimensional gate arrays. It can be shown that ±1-bonds combined with a dilution of about 80–90% of the original Hopfield-connections still lead to a comparable performance of the network. Furthermore the learning capability of the chips is discussed. ...

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Item type:Article
Date:1987
Institutions:Physics > Institute of Theroretical Physics > Professor Morgenstern
Identification Number:
ValueType
10.1007/BF01303992DOI
Dewey Decimal Classification:500 Science > 530 Physics
Status:Published
Refereed:Unknown
Created at the University of Regensburg:Unknown
Item ID:16267
Owner only: item control page

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