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Artificial Neural Network for Response Inference of a Nonvolatile Resistance-Switch Array
An artificial neural network was utilized in the behavior inference of a random crossbar array (10 × 9 or 28 × 27 in size) of nonvolatile binary resistance-switches (in a high resistance state (HRS) or low resistance state (LRS)) in response to a randomly applied voltage array. The employed artifici...
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| 出版年: | Micromachines (Basel) |
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| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6523178/ https://ncbi.nlm.nih.gov/pubmed/30934793 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/mi10040219 |
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