VLSI-compatible cellular neural networks with optimal solution capability for optimization

Bing J. Sheu; Robert C. Chang; Tony H. Wu; Sa H. Bang

VLSI-compatible cellular neural networks with optimal solution capability for optimization

Bing J. Sheu^*, Robert C. Chang, Tony H. Wu, Sa H. Bang

^*Corresponding author for this work

University of Southern California

Research output: Contribution to journal › Conference article › peer-review

2 Scopus citations

Abstract

The hardware annealing method is effective on finding the optimal solutions for selected cellular neural network applications. The method is presented and analyzed in terms of the generalized energy which corresponds to the cost function in optimization problems. The network stability property and parameters in annealed neural networks are described to serve as a guideline for practical applications.

Original language	English
Pages (from-to)	1165-1168
Number of pages	4
Journal	Proceedings - IEEE International Symposium on Circuits and Systems
Volume	2
State	Published - 1995
Externally published	Yes
Event	Proceedings of the 1995 IEEE International Symposium on Circuits and Systems-ISCAS 95. Part 3 (of 3) - Seattle, WA, USA Duration: 30 04 1995 → 03 05 1995

Cite this

@article{474ae983938248ba9323584b44fb058d,

title = "VLSI-compatible cellular neural networks with optimal solution capability for optimization",

abstract = "The hardware annealing method is effective on finding the optimal solutions for selected cellular neural network applications. The method is presented and analyzed in terms of the generalized energy which corresponds to the cost function in optimization problems. The network stability property and parameters in annealed neural networks are described to serve as a guideline for practical applications.",

author = "Sheu, {Bing J.} and Chang, {Robert C.} and Wu, {Tony H.} and Bang, {Sa H.}",

year = "1995",

language = "英语",

volume = "2",

pages = "1165--1168",

journal = "Proceedings - IEEE International Symposium on Circuits and Systems",

issn = "0271-4310",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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",

}

TY - JOUR

T1 - VLSI-compatible cellular neural networks with optimal solution capability for optimization

AU - Sheu, Bing J.

AU - Chang, Robert C.

AU - Wu, Tony H.

AU - Bang, Sa H.

PY - 1995

Y1 - 1995

N2 - The hardware annealing method is effective on finding the optimal solutions for selected cellular neural network applications. The method is presented and analyzed in terms of the generalized energy which corresponds to the cost function in optimization problems. The network stability property and parameters in annealed neural networks are described to serve as a guideline for practical applications.

AB - The hardware annealing method is effective on finding the optimal solutions for selected cellular neural network applications. The method is presented and analyzed in terms of the generalized energy which corresponds to the cost function in optimization problems. The network stability property and parameters in annealed neural networks are described to serve as a guideline for practical applications.

UR - http://www.scopus.com/inward/record.url?scp=0029191889&partnerID=8YFLogxK

M3 - 会议文章

AN - SCOPUS:0029191889

SN - 0271-4310

VL - 2

SP - 1165

EP - 1168

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-compatible cellular neural networks with optimal solution capability for optimization

Abstract

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