VLSI design of cellular neural networks with annealing and optical input capabilities

Bing J. Sheu; Sa H. Bang; Wai-Chi  Fang

doi:10.1109/ISCAS.1995.521598

VLSI design of cellular neural networks with annealing and optical input capabilities

Bing J. Sheu^*, Sa H. Bang, Wai-Chi Fang

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研究成果: Conference article › 同行評審

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摘要

A cellular neural network (CNN) is a locally connected, massively paralleled computing system with simple synaptic operators so that it is very suitable for VLSI implementation in real-time, high-speed applications. VLSI architecture of a continuous-time shift-invariant CNN with digitally-programmable operators and optical inputs is proposed. The circuits with annealing ability is included to achieve optimal solutions for many selected applications.

原文	English
頁（從 - 到）	653-659
頁數	7
期刊	Proceedings - IEEE International Symposium on Circuits and Systems
卷	1
DOIs	https://doi.org/10.1109/ISCAS.1995.521598
出版狀態	Published - 1995
事件	Proceedings of the 1995 IEEE International Symposium on Circuits and Systems-ISCAS 95. Part 3 (of 3) - Seattle, WA, USA 持續時間: 30 4月 1995 → 3 5月 1995

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10.1109/ISCAS.1995.521598

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abstract = "A cellular neural network (CNN) is a locally connected, massively paralleled computing system with simple synaptic operators so that it is very suitable for VLSI implementation in real-time, high-speed applications. VLSI architecture of a continuous-time shift-invariant CNN with digitally-programmable operators and optical inputs is proposed. The circuits with annealing ability is included to achieve optimal solutions for many selected applications.",

author = "Sheu, {Bing J.} and Bang, {Sa H.} and Wai-Chi Fang",

year = "1995",

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note = "Proceedings of the 1995 IEEE International Symposium on Circuits and Systems-ISCAS 95. Part 3 (of 3) ; Conference date: 30-04-1995 Through 03-05-1995",

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AU - Sheu, Bing J.

AU - Bang, Sa H.

AU - Fang, Wai-Chi

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AB - A cellular neural network (CNN) is a locally connected, massively paralleled computing system with simple synaptic operators so that it is very suitable for VLSI implementation in real-time, high-speed applications. VLSI architecture of a continuous-time shift-invariant CNN with digitally-programmable operators and optical inputs is proposed. The circuits with annealing ability is included to achieve optimal solutions for many selected applications.

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DO - 10.1109/ISCAS.1995.521598

M3 - Conference article

AN - SCOPUS:0029192792

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SP - 653

EP - 659

JO - Proceedings - IEEE International Symposium on Circuits and Systems

JF - Proceedings - IEEE International Symposium on Circuits and Systems

T2 - Proceedings of the 1995 IEEE International Symposium on Circuits and Systems-ISCAS 95. Part 3 (of 3)

Y2 - 30 April 1995 through 3 May 1995

ER -

VLSI design of cellular neural networks with annealing and optical input capabilities

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