Advances in Memristor Neural Networks

Nowadays, scientific research deals with alternative solutions for creating non-traditional computing systems, such as neural network architectures where the stochastic nature and live dynamics of memristive models play a key role. The features of memristors make it possible to direct processing and...

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Bibliographic Details

Format:	Online
Language:	English
Published:	IntechOpen 2023
Subjects:	synapse, neuromorphic computing, graphene, graphene oxide, image processing, artificial neural networks thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics::PBWH Mathematical modelling
Online Access:	ONIX_20231201_9781789841169_1603
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