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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Detalhes bibliográficos
Autor Corporativo: Ciufudean, Calin
Formato: Livro
Idioma:Inglês
Publicado em: IntechOpen 2018
Assuntos:
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics::PBWH Mathematical modelling
synapse, neuromorphic computing, graphene, graphene oxide, image processing, artificial neural networks
Acesso em linha:https://directory.doabooks.org/handle/20.500.12854/130494
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