Tunable superconducting neurons for networks based on radial basis functions

The hardware implementation of signal microprocessors based on superconducting technologies seems relevant for a number of niche tasks where performance and energy efficiency are critically important. In this paper, we consider the basic elements for superconducting neural networks on radial basis f...

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Detalles Bibliográficos
Autores principales: Schegolev, Andrey E, Klenov, Nikolay V, Bakurskiy, Sergey V, Soloviev, Igor I, Kupriyanov, Mikhail Yu, Tereshonok, Maxim V, Sidorenko, Anatoli S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Beilstein-Institut 2022
Materias:
Full Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9127244/
https://www.ncbi.nlm.nih.gov/pubmed/35655940
http://dx.doi.org/10.3762/bjnano.13.37

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9127244/
https://www.ncbi.nlm.nih.gov/pubmed/35655940
http://dx.doi.org/10.3762/bjnano.13.37

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