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  • 标题:Impact of Synaptic Device Variations on Pattern Recognition Accuracy in a Hardware Neural Network
  • 本地全文:下载
  • 作者:Sungho Kim ; Meehyun Lim ; Yeamin Kim
  • 期刊名称:Scientific Reports
  • 电子版ISSN:2045-2322
  • 出版年度:2018
  • 卷号:8
  • 期号:1
  • 页码:2638
  • DOI:10.1038/s41598-018-21057-x
  • 语种:English
  • 出版社:Springer Nature
  • 摘要:), and the weight update margin (ΔG) on the pattern recognition accuracy are analyzed quantitatively. These simulation results can provide guidelines for the continued design and optimization of a synaptic device for realizing a functional large-scale neuromorphic computing system.
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