On-chip bacterial foraging training in silicon photonic circuits for projection-enabled nonlinear classification

On-chip training remains a challenging issue for photonic devices to implement machine learning algorithms. Most demonstrations only implement inference in photonics for offline-trained neural network models. On the other hand, artificial neural networks are one of the most deployed algorithms, whil...

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Detalles Bibliográficos
Autores principales: Cong, Guangwei, Yamamoto, Noritsugu, Inoue, Takashi, Maegami, Yuriko, Ohno, Morifumi, Kita, Shota, Namiki, Shu, Yamada, Koji
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/PMC9247170/
https://www.ncbi.nlm.nih.gov/pubmed/35773261
http://dx.doi.org/10.1038/s41467-022-30906-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9247170/
https://www.ncbi.nlm.nih.gov/pubmed/35773261
http://dx.doi.org/10.1038/s41467-022-30906-3

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