Improving the Recognition Accuracy of Memristive Neural Networks via Homogenized Analog Type Conductance Quantization

Conductance quantization (QC) phenomena occurring in metal oxide based memristors demonstrate great potential for high-density data storage through multilevel switching, and analog synaptic weight update for effective training of the artificial neural networks. Continuous, linear and symmetrical mod...

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Detalles Bibliográficos
Autores principales: Chen, Qilai, Han, Tingting, Tang, Minghua, Zhang, Zhang, Zheng, Xuejun, Liu, Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7231361/
https://www.ncbi.nlm.nih.gov/pubmed/32325690
http://dx.doi.org/10.3390/mi11040427

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7231361/
https://www.ncbi.nlm.nih.gov/pubmed/32325690
http://dx.doi.org/10.3390/mi11040427

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