Mitigating the Effects of RRAM Process Variation on the Accuracy of Artificial Neural Networks-Reference-Cited by-同舟云学术

Mitigating the Effects of RRAM Process Variation on the Accuracy of Artificial Neural Networks

Published:2022 Issue: Volume: Page:401-417
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
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Author:

Fritscher Markus^ORCID,Knödtel Johannes^ORCID,Mallah Maen,Pechmann Stefan^ORCID,Quesada Emilio Perez-Bosch^ORCID,Rizzi Tommaso^ORCID,Wenger Christian^ORCID,Reichenbach Marc^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-04580-6_27

Reference31 articles.

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5. Charan, G., et al.: Accurate inference with inaccurate RRAM devices: A joint algorithm-design solution. IEEE J. on Exploratory Solid-State Computational Devices and Circuits (2020)

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