Implementing in-situ self-organizing maps with memristor crossbar arrays for data mining and optimization

A self-organizing map (SOM) is a powerful unsupervised learning neural network for analyzing high-dimensional data in various applications. However, hardware implementation of SOM is challenging because of the complexity in calculating the similarities and determining neighborhoods. We experimentall...

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Detalles Bibliográficos
Autores principales: Wang, Rui, Shi, Tuo, Zhang, Xumeng, Wei, Jinsong, Lu, Jian, Zhu, Jiaxue, Wu, Zuheng, Liu, Qi, Liu, Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9051161/
https://www.ncbi.nlm.nih.gov/pubmed/35484107
http://dx.doi.org/10.1038/s41467-022-29411-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9051161/
https://www.ncbi.nlm.nih.gov/pubmed/35484107
http://dx.doi.org/10.1038/s41467-022-29411-4

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