Binarized Neural Network with Silicon Nanosheet Synaptic Transistors for Supervised Pattern Classification

In the biological neural network, the learning process is achieved through massively parallel synaptic connections between neurons that can be adjusted in an analog manner. Recent developments in emerging synaptic devices and their networks can emulate the functionality of a biological neural networ...

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Detalles Bibliográficos
Autores principales: Kim, Sungho, Choi, Bongsik, Yoon, Jinsu, Lee, Yongwoo, Kim, Hee-Dong, Kang, Min-Ho, Choi, Sung-Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6690903/
https://www.ncbi.nlm.nih.gov/pubmed/31406242
http://dx.doi.org/10.1038/s41598-019-48048-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6690903/
https://www.ncbi.nlm.nih.gov/pubmed/31406242
http://dx.doi.org/10.1038/s41598-019-48048-w

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