Intrinsic variation effect in memristive neural network with weight quantization.
Autor: | Park J; Department of Electronic Engineering, Inha University, Incheon 22212, Republic of Korea., Song MS; Department of Electronic Engineering, Inha University, Incheon 22212, Republic of Korea., Youn S; Department of Electronic Engineering, Inha University, Incheon 22212, Republic of Korea., Kim TH; Department of Electrical and Computer Engineering, Seoul National University, Seoul 151742, Republic of Korea., Kim S; Department of Electrical and Computer Engineering, Seoul National University, Seoul 151742, Republic of Korea., Hong K; Department of Electrical and Computer Engineering, Seoul National University, Seoul 151742, Republic of Korea., Kim H; Department of Electronic Engineering, Inha University, Incheon 22212, Republic of Korea. |
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Jazyk: | angličtina |
Zdroj: | Nanotechnology [Nanotechnology] 2022 Jun 24; Vol. 33 (37). Date of Electronic Publication: 2022 Jun 24. |
DOI: | 10.1088/1361-6528/ac7651 |
Abstrakt: | To analyze the effect of the intrinsic variations of the memristor device on the neuromorphic system, we fabricated 32 × 32 Al (© 2022 IOP Publishing Ltd.) |
Databáze: | MEDLINE |
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