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检索条件"任意字段=Neural Network Models for Optical Computing 1988"
824 条 记 录,以下是21-30 订阅
排序:
Nonlinear absorption of 2D materials and their application in optical neural networks
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JOURNAL OF THE optical SOCIETY OF AMERICA B-optical PHYSICS 2023年 第8期40卷 2007-2012页
作者: Teng, Caihong He, Weijie Du, Wen Wu, Jiang Wang, Zhiming Univ Elect Sci & Technol China UESTC Inst Fundamental & Frontier Sci Chengdu 610054 Peoples R China
In recent years, optical neural network (ONN) research has blossomed due to the outstanding advantage of energy consumption and computing property. Regrettably, nonlinear processing in the optical domain remains a hug... 详细信息
来源: 评论
All-optical perception based on partially coherent optical neural networks
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OPTICS EXPRESS 2025年 第2期33卷 1609-1624页
作者: Chen, Rui Ma, Yijun Zhang, Chuang Xu, Wenjun Wang, Zhong Sun, Shengli Chinese Acad Sci Shanghai Inst Tech Phys Shanghai 200083 Peoples R China Univ Chinese Acad Sci Sch Elect Elect & Commun Engn Beijing 100049 Peoples R China Chinese Acad Sci Key Lab Intelligent Infrared Percept Shanghai 200083 Peoples R China
In the field of image processing, optical neural networks offer advantages such as high speed, high throughput, and low energy consumption. However, most existing coherent optical neural networks (CONN) rely on cohere... 详细信息
来源: 评论
Multipeak Wavelength Detection of Spectrally Overlapped Fiber Bragg Grating Sensors Through a CNN-Based Autoencoder
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IEEE SENSORS JOURNAL 2024年 第13期24卷 20674-20687页
作者: Rudloff, Gabriel Soto, Marcelo A. Univ Tecn Federico Santa Maria Dept Elect Engn Valparaiso 2390123 Chile
This article presents a machine learning solution to identify the peak wavelengths of fiber Bragg grating (FBG) sensors multiplexed in a network with high spectral overlapping. Machine learning solutions generally req... 详细信息
来源: 评论
optical-electronic hybrid Fourier convolutional neural network based on super-pixel complex-valued modulation
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APPLIED OPTICS 2023年 第5期62卷 1337-1344页
作者: Fan, L., I Long, X. I. L. I. N. Dai, J. U. N. LI, C. H. O. N. G. Dong, X. I. A. O. W. E. N. He, Jian-jun Zhejiang Univ Coll Opt Sci & Engn Ctr Integrated Optoelect State Key Lab Modern Opt Instrumentat Hangzhou 310027 Peoples R China Huawei Technol Co Ltd Bantian Shenzhen 518000 Guangdong Peoples R China
An optical-electronic hybrid convolutional neural network (CNN) system is proposed and investigated for its parallel processing capability and system design robustness. It is regarded as a practical way to implement r... 详细信息
来源: 评论
HPPI: A High-Performance Photonic Interconnect Design for Chiplet-Based DNN Accelerators
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IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS 2024年 第3期43卷 812-825页
作者: Li, Guanglong Ye, Yaoyao Shanghai Jiao Tong Univ Sch Elect Informat & Elect Engn Dept Micro Nano Elect Shanghai 200240 Peoples R China
In pursuit of higher inference accuracy, the complexity and parameter size of recent deep neural networks (DNNs) have increased significantly. Due to the increasing demand for computing power, the chiplet-based accele... 详细信息
来源: 评论
Application of machine learning for signal recognition in distributed fibre optic acoustic sensing technology
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IET OPTOELECTRONICS 2024年 第4期18卷 81-95页
作者: Zhan, Yage Liu, Lirui Li, Kehan Donghua Univ Coll Sci Shanghai Peoples R China
Coherent Rayleigh scattering-based distributed fibre optic sensing technology enables real-time acquisition of vibration and acoustic information along the optical fibres. However, the complexity of monitoring environ... 详细信息
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Variational Methods in optical Quantum Machine Learning
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IEEE ACCESS 2023年 11卷 131394-131408页
作者: Simonetti, Marco Perri, Damiano Gervasi, Osvaldo Univ Florence Dept Math & Comp Sci I-50134 Florence Italy Univ Perugia Dept Math & Comp Sci I-06123 Perugia Italy
The computing world is rapidly evolving and advancing, with new ground-breaking technologies emerging. Quantum computing and Quantum Machine Learning have opened up new possibilities, providing unprecedented computati... 详细信息
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Detection and recognition of images under interference conditions
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JOURNAL OF optical TECHNOLOGY 2024年 第8期91卷 547-555页
作者: Malakhova, Ekaterina yu. Shelepin, Konstantin yu. Shelepin, Yuriy E. Russian Acad Sci Pavlov Inst Physiol St Petersburg Russia
Subject of study. This study investigates human visual perception under noise conditions and models these mechanisms using generative neural networks. Aim of study. We aimed to understand how humans recognize visual s... 详细信息
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Utilization of big data classification models in digitally enhanced optical coherence tomography for medical diagnostics
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neural computing & APPLICATIONS 2024年 第1期36卷 225-239页
作者: Bansal, Priti Harjai, Nipun Saif, Mohammad Mugloo, Saahil Hussain Kaur, Preeti Netaji Subhas Univ Technol Dept Informat Technol New Delhi India Netaji Subhas Univ Technol Dept Comp Engn New Delhi India
With the advancement in modern imaging techniques like CT scan, MRI, PET scan etc., a vast amount of data is generated every day in the field of healthcare. Big data contains hidden information, which necessitates the... 详细信息
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STADIA: Photonic Stochastic Gradient Descent for neural network Accelerators
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ACM TRANSACTIONS ON EMBEDDED computing SYSTEMS 2023年 第5期22卷 1-23页
作者: Xia, Chengpeng Chen, Yawen Zhang, Haibo Wu, Jigang Univ Otago Otago 9016 New Zealand Guangdong Univ Technol Guangzhou 510006 Guangdong Peoples R China
Deep neural networks (DNNs) have demonstrated great success in many fields such as image recognition and text analysis. However, the ever-increasing sizes of both DNN models and training datasets make deep leaning ext... 详细信息
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