| Autor: |
Dongseok Kwon, Nagyong Choi, Sung-Tae Lee, Jong-Ho Lee, Jong-Ho Bae, Hyeongsu Kim, Byung-Gook Park, Suhwan Lim |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
Journal of nanoscience and nanotechnology. 20(7) |
| ISSN: |
1533-4899 |
| Popis: |
NAND flash memory which is mature technology has great advantage in high density and great storage capacity per chip because cells are connected in series between a bit-line and a source-line. Therefore, NAND flash cell can be used as a synaptic device which is very useful for a high-density synaptic array. In this paper, the effect of the word-line bias on the linearity of multi-level conductance steps of the NAND flash cell is investigated. A 3-layer perceptron network (784×200×10) is trained by a suitable weight update method for NAND flash memory using MNIST data set. The linearity of multi-level conductance steps is improved as the word line bias increases from Vth −0.5 to Vth +1 at a fixed bit-line bias of 0.2 V. As a result, the learning accuracy is improved as the word-line bias increases from Vth −0.5 to Vth+1. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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