Efficient on-chip training of optical neural networks using genetic algorithm

Efficient on-chip training of optical neural networks using genetic algorithm

Recent advances in silicon photonic chips have made huge progress in optical computing owing to their flexibility in the reconfiguration of various tasks. Its deployment of neural networks serves as an alternative for mitigating the rapidly increased demand for computing resources in electronic plat...

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Bibliographic Details
Main Authors: Zhang, Hui, Thompson, Jayne, Gu, Mile, Jiang, Xudong, Cai, Hong, Liu, Patricia Yang, Shi, Yuzhi, Zhang, Yi, Muhammad Faeyz Karim, Lo, Guo Qiang, Luo, Xianshu, Dong, Bin, Kwek, Leong Chuan, Liu, Ai Qun
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2021
Subjects:
Engineering
Optical Neural Networks
On-chip Training
Online Access:https://hdl.handle.net/10356/151456

Internet

https://hdl.handle.net/10356/151456

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