Architectures for analog VLSI implementation op neural networks for solving linear equations with inequality constraints

A. Cichocki, J. Ramirez-Angulo, R. Unbehauen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

16 Citations (Scopus)

Abstract

A new algorithm for solving generalized systems of linear equations subject to linear inequalities is proposed. The algorithm is robust with respect to wild (spiky) noise and outliers. The algorithm is expressed completely in differential equations. An OTA based implementation of the algorithm as an analog VLSI circuit in CMOS technology is discussed.

Original languageEnglish
Title of host publication1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1529-1532
Number of pages4
ISBN (Electronic)0780305930
DOIs
Publication statusPublished - 1992
Externally publishedYes
Event1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992 - San Diego, United States
Duration: 10 May 199213 May 1992

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
Volume3
ISSN (Print)0271-4310

Conference

Conference1992 IEEE International Symposium on Circuits and Systems, ISCAS 1992
Country/TerritoryUnited States
CitySan Diego
Period10/05/9213/05/92

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