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Three learning methods for reasoning-based synthesis of novel analog circuits

  • Stony Brook University

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

2 Scopus citations

Abstract

This paper describes three learning methods to acquire new insight and knowledge on how structural features relate to performance and constraints. Learning is at the feature-, concept-, and constraint-level. Experiments present the three learning types for a set of modern analog circuits and illustrate the using of the gained information for circuit synthesis.

Original languageEnglish
Title of host publicationISCAS 2016 - IEEE International Symposium on Circuits and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2411-2414
Number of pages4
ISBN (Electronic)9781479953400
DOIs
StatePublished - Jul 29 2016
Event2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016 - Montreal, Canada
Duration: May 22 2016May 25 2016

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
Volume2016-July
ISSN (Print)0271-4310

Conference

Conference2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016
Country/TerritoryCanada
CityMontreal
Period05/22/1605/25/16

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