DIFFRACTIVE

作品数：124被引量：285H指数：12
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Screening COVID-19 from chest X-ray images by an optical diffractive neural network with the optimized F number
《Photonics Research》2024年第7期1410-1426,共17页JIALONG WANG SHOUYU CHAI WENTING GU BOYI LI XUE JIANG YUNXIANG ZHANG HONGEN LIAO XIN LIU DEAN TA 
National Natural Science Foundation of China(12274092);Natural Science Foundation of Shanghai Municipality (21ZR1405200)。
The COVID-19 pandemic continues to significantly impact people's lives worldwide, emphasizing the critical need for effective detection methods. Many existing deep learning-based approaches for COVID-19 detection offe...
关键词：NEURAL network offering 
Diffractive neural networks with improved expressive power for gray-scale image classification
《Photonics Research》2024年第6期1159-1166,共8页MINJIA ZHENG WENZHE LIU LEI SHI JIAN ZI 
Major Program of National Natural Science Foundation of China(T2394481);Science and Technology Commission of Shanghai Municipality(2019SHZDZX01,21DZ1101500,22142200400,23DZ2260100);National Key Research and Development Program of China(2022YFA1404800,2023YFA1406900);National Natural Science Foundation of China(12234007,12221004,12321161645)
In order to harness diffractive neural networks(DNNs)for tasks that better align with real-world computer vision requirements,the incorporation of gray scale is essential.Currently,DNNs are not powerful enough to acco...
关键词：process MIRROR LIMITATIONS 
Sophisticated deep learning with on-chip optical diffractive tensor processing被引量：6
《Photonics Research》2023年第6期1125-1138,共14页YUYAO HUANG TINGZHAO FU HONGHAO HUANG SIGANG YANG HONGWEI CHEN 
National Natural Science Foundation of China(62135009);Beijing Municipal Science and Technology Commission(Z221100005322010)。
Ever-growing deep-learning technologies are making revolutionary changes for modern life.However,conventional computing architectures are designed to process sequential and digital programs but are burdened with perfo...
关键词：HANDLE BOOSTING network 
Optimize performance of a diffractive neural network by controlling the Fresnel number被引量：6
《Photonics Research》2022年第11期2667-2676,共10页MINJIA ZHENG LEI SHI JIAN ZI 
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 ...
关键词：FRESNEL controlling NUMBER 
Orbital angular momentum mode logical operation using optical diffractive neural network被引量：12
《Photonics Research》2021年第10期2116-2124,共9页PEIPEI WANG WENJIE XIONG ZEBIN HUANG YANLIANG HE ZHIQIANG XIE JUNMIN LIU HUAPENG YE YING LI DIANYUAN FAN SHUQING CHEN 
National Natural Science Foundation of China(12047539,61805149,62101334);Guangdong Basic and Applied Basic Research Foundation(2019A1515111153,2020A1515011392,2020A1515110572,2021A1515011762);Shenzhen Fundamental Research Program(JCYJ20180507182035270,JCYJ20200109144001800);Science and Technology Project of Shenzhen(GJHZ20180928160407303);Shenzhen Universities Stabilization Support Program(SZWD2021013);Shenzhen Excellent Scientific and Technological Innovative Talent Training Program(RCBS20200714114818094);China Postdoctoral Science Foundation(2020M682867)。
Optical logical operations demonstrate the key role of optical digital computing,which can perform general-purpose calculations and possess fast processing speed,low crosstalk,and high throughput.The logic states usua...
关键词：NETWORK MODE MOMENTUM 
In situ optical backpropagation training of diffractive optical neural networks:publisher’s note被引量：5
《Photonics Research》2020年第8期1323-1323,共1页TIANKUANG ZHOU LU FANG TAO YAN JIAMIN WU YIPENG LI JINGTAO FAN HUAQIANG WU XING LIN QIONGHAI DAI 
This publisher’s note corrects the authors’affiliations in Photon.Res.8,940(2020).
关键词：OPTICAL networks NEURAL 
In situ optical backpropagation training of diffractive optical neural networks被引量：18
《Photonics Research》2020年第6期940-953,共14页TIANKUANG ZHOU LU FANG TAO YAN JIAMIN WU YIPENG LI JINGTAO FAN HUAQIANG WU XING LIN QIONGHAI DA 
Beijing Municipal Science and Technology Commission(No.Z181100003118014);National Natural Science Foundation of China(No.61722209);Tsinghua University Initiative Scientific Research Program.
Training an artificial neural network with backpropagation algorithms to perform advanced machine learning tasks requires an extensive computational process.This paper proposes to implement the backpropagation algorit...
关键词：process. WEIGHTS BACKWARD 
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