中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Partitionable High-Efficiency Multilayer Diffractive Optical Neural Network

文献类型:期刊论文

作者Y. J. Long; Z. R. Wang; B. He; T. Nie; X. X. Zhang and T. J. Fu
刊名Sensors
出版日期2022
卷号22期号:19页码:15
DOI10.3390/s22197110
英文摘要A partitionable adaptive multilayer diffractive optical neural network is constructed to address setup issues in multilayer diffractive optical neural network systems and the difficulty of flexibly changing the number of layers and input data size. When the diffractive devices are partitioned properly, a multilayer diffractive optical neural network can be constructed quickly and flexibly without readjusting the optical path, and the number of optical devices, which increases linearly with the number of network layers, can be avoided while preventing the energy loss during propagation where the beam energy decays exponentially with the number of layers. This architecture can be extended to construct distinct optical neural networks for different diffraction devices in various spectral bands. The accuracy values of 89.1% and 81.0% are experimentally evaluated for MNIST database and MNIST fashion database and show that the classification performance of the proposed optical neural network reaches state-of-the-art levels.
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语种英语
源URL[http://ir.ciomp.ac.cn/handle/181722/66972]  
专题中国科学院长春光学精密机械与物理研究所
推荐引用方式
GB/T 7714
Y. J. Long,Z. R. Wang,B. He,et al. Partitionable High-Efficiency Multilayer Diffractive Optical Neural Network[J]. Sensors,2022,22(19):15.
APA Y. J. Long,Z. R. Wang,B. He,T. Nie,&X. X. Zhang and T. J. Fu.(2022).Partitionable High-Efficiency Multilayer Diffractive Optical Neural Network.Sensors,22(19),15.
MLA Y. J. Long,et al."Partitionable High-Efficiency Multilayer Diffractive Optical Neural Network".Sensors 22.19(2022):15.

入库方式: OAI收割

来源:长春光学精密机械与物理研究所

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