Cited 1 time in
Alternate Pulse Scheme in a Hardware Neural Network for Reducing the Influence of Asymmetry on Synaptic Weight Updating
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Li, Cheng | - |
| dc.contributor.author | An, Junseop | - |
| dc.contributor.author | Kweon, Jun Young | - |
| dc.contributor.author | Song, Yun Heub | - |
| dc.date.accessioned | 2021-07-30T04:54:51Z | - |
| dc.date.available | 2021-07-30T04:54:51Z | - |
| dc.date.created | 2021-05-11 | - |
| dc.date.issued | 2020-02 | - |
| dc.identifier.issn | 1598-1657 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/2087 | - |
| dc.description.abstract | Recently, 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.language | 영어 | - |
| dc.language.iso | en | - |
| dc.publisher | IEEK PUBLICATION CENTER | - |
| dc.title | Alternate Pulse Scheme in a Hardware Neural Network for Reducing the Influence of Asymmetry on Synaptic Weight Updating | - |
| dc.type | Article | - |
| dc.contributor.affiliatedAuthor | Song, Yun Heub | - |
| dc.identifier.doi | 10.5573/JSTS.2020.20.1.119 | - |
| dc.identifier.scopusid | 2-s2.0-85081158991 | - |
| dc.identifier.wosid | 000517825600015 | - |
| dc.identifier.bibliographicCitation | JOURNAL OF SEMICONDUCTOR TECHNOLOGY AND SCIENCE, v.20, no.1, pp.119 - 126 | - |
| dc.relation.isPartOf | JOURNAL OF SEMICONDUCTOR TECHNOLOGY AND SCIENCE | - |
| dc.citation.title | JOURNAL OF SEMICONDUCTOR TECHNOLOGY AND SCIENCE | - |
| dc.citation.volume | 20 | - |
| dc.citation.number | 1 | - |
| dc.citation.startPage | 119 | - |
| dc.citation.endPage | 126 | - |
| dc.type.rims | ART | - |
| dc.type.docType | Article | - |
| dc.identifier.kciid | ART002562151 | - |
| dc.description.journalClass | 1 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.description.journalRegisteredClass | kci | - |
| dc.relation.journalResearchArea | Engineering | - |
| dc.relation.journalResearchArea | Physics | - |
| dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
| dc.relation.journalWebOfScienceCategory | Physics, Applied | - |
| dc.subject.keywordPlus | Feature extraction | - |
| dc.subject.keywordPlus | Low power electronics | - |
| dc.subject.keywordPlus | Neural networks | - |
| dc.subject.keywordPlus | Neurons | - |
| dc.subject.keywordPlus | Pulse code modulation | - |
| dc.subject.keywordPlus | Phase change memory | - |
| dc.subject.keywordPlus | Asymmetric characteristic | - |
| dc.subject.keywordPlus | Hardware neural networks | - |
| dc.subject.keywordPlus | Long term depression | - |
| dc.subject.keywordPlus | Long-term potentiations | - |
| dc.subject.keywordPlus | Low-power consumption | - |
| dc.subject.keywordPlus | Phase change memory (pcm) | - |
| dc.subject.keywordPlus | Programming mechanism | - |
| dc.subject.keywordPlus | Synapse | - |
| dc.subject.keywordAuthor | Phase-change memory | - |
| dc.subject.keywordAuthor | PCM | - |
| dc.subject.keywordAuthor | neural network | - |
| dc.subject.keywordAuthor | feature extraction | - |
| dc.subject.keywordAuthor | neuron | - |
| dc.subject.keywordAuthor | synapse | - |
| dc.identifier.url | https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE09307371&language=ko_KR&hasTopBanner=true | - |
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