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Cited by 2,194

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Simple 'neural' optimization networks: An A/D converter, signal decision circuit, and a linear programming circuit

Tank, D., Hopfield, J.·1986·IEEE Transactions on Circuits and Systems

Abstract

We describe how several optimization problems can be rapidly solved by highly interconnected networks of simple analog processors. Analog-to-digital (A/D) conversion was considered as a simple optimization problem, and an A/D converter of novel architecture was designed. A/D conversion is a simple example of a more general class of signal-decision problems which we show could also be solved by appropriately constructed networks. Circuits to solve these problems were designed using general principles which result from an understanding of the basic collective computational properties of a specific class of analog-processor networks. We also show that a network which solves linear programming problems can be understood from the same concepts.

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Metadata

Authors
Tank, D., & Hopfield, J.
Venue
IEEE Transactions on Circuits and Systems
Published
1986-05
Volume
33
Issue
5
Pages
533-541
ISSN
0098-4094 (ISSN-L)
OpenAlex
W2102227134
Cited by
2,194
References
2
FWCI
51.61
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Simple 'neural' optimization networks: An A/D converter, signal decision circuit, and a linear programming circuit. https://app.cochat.ai/papers/10.1109/tcs.1986.1085953
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Tank, D., & Hopfield, J. (1986). Simple 'neural' optimization networks: An A/D converter, signal decision circuit, and a linear programming circuit. IEEE Transactions on Circuits and Systems. https://doi.org/10.1109/tcs.1986.1085953

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.