ROA: A Rapid Learning Scheme for In-Situ Memristor Networks

Memristors show great promise in neuromorphic computing owing to their high-density integration, fast computing and low-energy consumption. However, the non-ideal update of synaptic weight in memristor devices, including nonlinearity, asymmetry and device variation, still poses challenges to the in-...

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Detalles Bibliográficos
Autores principales: Zhang, Wenli, Wang, Yaoyuan, Ji, Xinglong, Wu, Yujie, Zhao, Rong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8554302/
https://www.ncbi.nlm.nih.gov/pubmed/34723173
http://dx.doi.org/10.3389/frai.2021.692065

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8554302/
https://www.ncbi.nlm.nih.gov/pubmed/34723173
http://dx.doi.org/10.3389/frai.2021.692065

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