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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...
Autores principales: | Kim, Guhyun, Kornijcuk, Vladimir, Kim, Dohun, Kim, Inho, Hwang, Cheol Seong, Jeong, Doo Seok |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6523178/ https://www.ncbi.nlm.nih.gov/pubmed/30934793 http://dx.doi.org/10.3390/mi10040219 |
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