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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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| Pubblicato in: | Micromachines (Basel) |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI
2019
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| Soggetti: | |
| Accesso online: | 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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