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卷积神经网络在图像分类上的应用综述 被引量:5
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作者 杨泽明 刘军 +1 位作者 薛程 于子红 《人工智能与机器人研究》 2018年第1期17-24,共8页
近些年来,图像分类在模式识别领域占据着重要的地位。迅速增长的图像数据对于图像信息的分析与处理提出了新的要求。卷积神经网络应运而生,以其强大的图像识别分类能力被广泛的应用于各种图像分类系统,并取得了十分显著的效果。本文首先... 近些年来,图像分类在模式识别领域占据着重要的地位。迅速增长的图像数据对于图像信息的分析与处理提出了新的要求。卷积神经网络应运而生,以其强大的图像识别分类能力被广泛的应用于各种图像分类系统,并取得了十分显著的效果。本文首先,回顾了图像分类技术的发展历程,介绍了图样空间与特征空间的分类方法以及图像特征提取方法。其次,介绍了卷积神经网络在图像分类问题上的研究情况。最后,总结卷积神经网络在图像分类问题上存在的问题,以及未来的发展方向。 展开更多
关键词 图像分类 卷积神经网络(CNN) 图像特征提取方法
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Routing and scheduling co-design for holistic software-defined deterministic network 被引量:1
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作者 Jinglong Zhang Fengyuan Zhu +3 位作者 zeming yang Cailian Chen Xiaohua Tian Xinping Guan 《Fundamental Research》 CAS CSCD 2024年第1期25-34,共10页
As a result of the growing complexity of industrial Internet applications,traditional hardware-based network designs are encountering challenges in terms of programmability and dynamic adaptability as they struggle to... As a result of the growing complexity of industrial Internet applications,traditional hardware-based network designs are encountering challenges in terms of programmability and dynamic adaptability as they struggle to meet the real-time,high-reliability transmission requirements for the vast quantities of data generated in industrial environments.This paper proposes a holistic software-defined deterministic network(HSDDN)design solution.This solution uses a centralized controller to implement a comprehensive software definition,ranging from the network layer down to the physical layer.Within the wireless access domain,we decouple the standard radio-frequency modules from baseband processing to realize a software-defined physical layer,which then allows us to adjust the data transmission cycles and tag the trigger rates to meet demand for low-power,high-concurrency transmission.Within the wired network domain,we integrate software-defined networking with time-sensitive networking and propose a coordinated design strategy to address routing and the deterministic scheduling problem.We define a set of constraints to ensure collaborative transmission of the periodic and aperiodic data flows.To guarantee load balancing across all paths and timeslots,we introduce the Jain’s fairness index as the optimization objective and then construct a nondeterministic polynomial-time(NP)-hard joint optimization problem.Furthermore,an algorithm called Tabu search for routing and scheduling with dual-stages(TSRS-DS)is proposed.Simulation experiments demonstrate the effectiveness of the proposed HSDDN architecture. 展开更多
关键词 Deterministic networking Software-defined networking Software-defined physical layer Time-sensitive networking Backscatter communication Routing and scheduling co-design
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