Partitionable High-Efficiency Multilayer Diffractive Optical Neural Network

doi:10.3390/s22197110

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	Partitionable High-Efficiency Multilayer Diffractive Optical Neural Network
	Y. J. Long; Z. R. Wang; B. He; T. Nie; X. X. Zhang and T. J. Fu
	2022
发表期刊	Sensors
卷号	22 期号:19 页码:15
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.
DOI	10.3390/s22197110
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收录类别	sci ; ei
语种	英语
引用统计
文献类型	期刊论文
条目标识符	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.

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