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Alternate Pulse Scheme in a Hardware Neural Network for Reducing the Influence of Asymmetry on Synaptic Weight Updating

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dc.contributor.authorLi, Cheng-
dc.contributor.authorAn, Junseop-
dc.contributor.authorKweon, Jun Young-
dc.contributor.authorSong, Yun Heub-
dc.date.accessioned2021-07-30T04:54:51Z-
dc.date.available2021-07-30T04:54:51Z-
dc.date.created2021-05-11-
dc.date.issued2020-02-
dc.identifier.issn1598-1657-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/2087-
dc.description.abstractRecently, researchers have been paying more attention to hardware neural networks with memory devices acting as synapses due to their small area and low power consumption. We prefer to use a phase-change memory (PCM) device as a synapse due to its excellent synapse-like properties. However, due to the programming mechanism of PCMs, the asymmetric characteristic of the PCM between partially set and partially reset is severe. In this paper, we proposed an alternate pulse scheme (APS) to reduce the influence of the asymmetry between long-term potentiation and long-term depression operations.-
dc.language영어-
dc.language.isoen-
dc.publisherIEEK PUBLICATION CENTER-
dc.titleAlternate Pulse Scheme in a Hardware Neural Network for Reducing the Influence of Asymmetry on Synaptic Weight Updating-
dc.typeArticle-
dc.contributor.affiliatedAuthorSong, Yun Heub-
dc.identifier.doi10.5573/JSTS.2020.20.1.119-
dc.identifier.scopusid2-s2.0-85081158991-
dc.identifier.wosid000517825600015-
dc.identifier.bibliographicCitationJOURNAL OF SEMICONDUCTOR TECHNOLOGY AND SCIENCE, v.20, no.1, pp.119 - 126-
dc.relation.isPartOfJOURNAL OF SEMICONDUCTOR TECHNOLOGY AND SCIENCE-
dc.citation.titleJOURNAL OF SEMICONDUCTOR TECHNOLOGY AND SCIENCE-
dc.citation.volume20-
dc.citation.number1-
dc.citation.startPage119-
dc.citation.endPage126-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.identifier.kciidART002562151-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClasskci-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaPhysics-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryPhysics, Applied-
dc.subject.keywordPlusFeature extraction-
dc.subject.keywordPlusLow power electronics-
dc.subject.keywordPlusNeural networks-
dc.subject.keywordPlusNeurons-
dc.subject.keywordPlusPulse code modulation-
dc.subject.keywordPlusPhase change memory-
dc.subject.keywordPlusAsymmetric characteristic-
dc.subject.keywordPlusHardware neural networks-
dc.subject.keywordPlusLong term depression-
dc.subject.keywordPlusLong-term potentiations-
dc.subject.keywordPlusLow-power consumption-
dc.subject.keywordPlusPhase change memory (pcm)-
dc.subject.keywordPlusProgramming mechanism-
dc.subject.keywordPlusSynapse-
dc.subject.keywordAuthorPhase-change memory-
dc.subject.keywordAuthorPCM-
dc.subject.keywordAuthorneural network-
dc.subject.keywordAuthorfeature extraction-
dc.subject.keywordAuthorneuron-
dc.subject.keywordAuthorsynapse-
dc.identifier.urlhttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE09307371&language=ko_KR&hasTopBanner=true-
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