Convolutional Neural Network Based on Crossbar Arrays of (Co-Fe-B)<i><sub>x</sub></i>(LiNbO<sub>3</sub>)<sub>100−<i>x</i></sub> Nanocomposite Memristors

Convolutional Neural Network Based on Crossbar Arrays of (Co-Fe-B)<i><sub>x</sub></i>(LiNbO<sub>3</sub>)<sub>100−<i>x</i></sub> Nanocomposite Memristors

Convolutional neural networks (CNNs) have been widely used in image recognition and processing tasks. Memristor-based CNNs accumulate the advantages of emerging memristive devices, such as nanometer critical dimensions, low power consumption, and functional similarity to biological synapses. Most st...

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Bibliographic Details
Main Authors: Anna N. Matsukatova, Aleksandr I. Iliasov, Kristina E. Nikiruy, Elena V. Kukueva, Aleksandr L. Vasiliev, Boris V. Goncharov, Aleksandr V. Sitnikov, Maxim L. Zanaveskin, Aleksandr S. Bugaev, Vyacheslav A. Demin, Vladimir V. Rylkov, Andrey V. Emelyanov
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Nanomaterials
Subjects:
memristor
resistive switching
nanocomposite
neuromorphic computing
convolutional neural network
Online Access:https://www.mdpi.com/2079-4991/12/19/3455

Internet

https://www.mdpi.com/2079-4991/12/19/3455

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