典型文献
Optimize performance of a diffractive neural network by controlling the Fresnel number
文献摘要：
To achieve better performance of a diffractive deep neural network,increasing its spatial complexity(neurons and layers)is commonly used.Subject to physical laws of optical diffraction,a deeper diffractive neural network(DNN)would be more difficult to implement,and the development of DNN is limited.In this work,we found controlling the Fresnel number can increase DNN's capability of expression and its spatial complexity is even less.DNN with only one phase modulation layer was proposed and experimentally realized at 515 nm.With the optimal Fresnel number,the single-layer DNN reached a maximum accuracy of97.08％in the handwritten digits recognition task.
文献关键词：
中图分类号：
作者姓名：
MINJIA ZHENG;LEI SHI;JIAN ZI
作者机构：
State Key Laboratory of Surface Physics,Key Laboratory of Micro-and Nano-Photonic Structures(Ministry of Education)and Department of Physics,Fudan University,Shanghai 200433,China;Institute for Nanoelectronic Devices and Quantum Computing,Fudan University,Shanghai 200433,China;Collaborative Innovation Center of Advanced Microstructures,Nanjing University,Nanjing 210093,China
文献出处：
引用格式：
[1]MINJIA ZHENG;LEI SHI;JIAN ZI-.Optimize performance of a diffractive neural network by controlling the Fresnel number)[J].光子学研究（英文）,2022(11):2667-2676
A类：
of97
B类：
Optimize,performance,diffractive,neural,network,by,controlling,Fresnel,number,To,achieve,better,increasing,spatial,complexity,neurons,layers,commonly,used,Subject,physical,laws,optical,diffraction,deeper,DNN,would,more,difficult,implement,development,limited,In,this,we,found,can,increase,capability,expression,even,less,one,phase,modulation,was,proposed,experimentally,realized,With,optimal,single,reached,maximum,accuracy,handwritten,digits,recognition,task
AB值：
0.597919
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