Mathematical Modeling of a Self-Learning Neuromorphic Network Based on Nanosized Memristive Elements with a 1T1R-Crossbar-Architecture
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Published:2021-12
Issue:8
Volume:50
Page:628-637
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ISSN:1063-7397
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Container-title:Russian Microelectronics
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language:en
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Short-container-title:Russ Microelectron
Author:
Morozov A. Yu.ORCID, Abgaryan K. K.ORCID, Reviznikov D. L.ORCID
Publisher
Pleiades Publishing Ltd
Subject
Materials Chemistry,Electrical and Electronic Engineering,Condensed Matter Physics,Electronic, Optical and Magnetic Materials
Reference27 articles.
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Mater. Elektron. Tekh., 2019, vol. 22, no. 4, pp. 272–278. https://doi.org/10.17073/1609-3577-2019-4-272-278
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