咨询与建议

限定检索结果

文献类型

  • 500 篇 会议
  • 342 篇 期刊文献

馆藏范围

  • 842 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 530 篇 工学
    • 235 篇 计算机科学与技术...
    • 224 篇 软件工程
    • 184 篇 控制科学与工程
    • 98 篇 机械工程
    • 84 篇 信息与通信工程
    • 83 篇 电气工程
    • 82 篇 电子科学与技术(可...
    • 55 篇 仪器科学与技术
    • 49 篇 光学工程
    • 44 篇 生物工程
    • 41 篇 化学工程与技术
    • 40 篇 材料科学与工程(可...
    • 40 篇 交通运输工程
    • 33 篇 动力工程及工程热...
    • 23 篇 安全科学与工程
    • 22 篇 生物医学工程(可授...
    • 19 篇 土木工程
    • 14 篇 力学(可授工学、理...
  • 313 篇 理学
    • 162 篇 数学
    • 96 篇 物理学
    • 59 篇 系统科学
    • 51 篇 生物学
    • 50 篇 统计学(可授理学、...
    • 41 篇 化学
  • 99 篇 管理学
    • 82 篇 管理科学与工程(可...
    • 17 篇 工商管理
    • 17 篇 图书情报与档案管...
  • 22 篇 医学
    • 16 篇 临床医学
    • 13 篇 基础医学(可授医学...
  • 17 篇 法学
    • 15 篇 社会学
  • 7 篇 经济学
  • 5 篇 农学
  • 5 篇 军事学
  • 3 篇 教育学

主题

  • 26 篇 feature extracti...
  • 19 篇 simulation
  • 19 篇 accuracy
  • 18 篇 object detection
  • 18 篇 optimization
  • 16 篇 training
  • 15 篇 real-time system...
  • 14 篇 computational mo...
  • 14 篇 predictive model...
  • 13 篇 three-dimensiona...
  • 11 篇 reinforcement le...
  • 11 篇 visualization
  • 11 篇 topology
  • 10 篇 automation
  • 10 篇 stability analys...
  • 10 篇 laser radar
  • 10 篇 robustness
  • 9 篇 fault diagnosis
  • 9 篇 filtering
  • 9 篇 neural networks

机构

  • 110 篇 shanghai enginee...
  • 107 篇 department of au...
  • 101 篇 key laboratory o...
  • 52 篇 shaanxi key labo...
  • 37 篇 shaanxi key labo...
  • 26 篇 shaanxi key labo...
  • 22 篇 key laboratory o...
  • 21 篇 department of au...
  • 16 篇 ministry of educ...
  • 16 篇 school of automa...
  • 15 篇 shanghai jiao to...
  • 14 篇 college of compu...
  • 13 篇 shanghai jiao to...
  • 13 篇 the department o...
  • 13 篇 hubei province k...
  • 13 篇 department of au...
  • 13 篇 department of au...
  • 12 篇 science and tech...
  • 12 篇 xi'an university...
  • 12 篇 key laboratory o...

作者

  • 30 篇 wang hesheng
  • 29 篇 chen cailian
  • 29 篇 ding liu
  • 29 篇 guan xinping
  • 21 篇 wang guangming
  • 20 篇 sang shengbo
  • 19 篇 hesheng wang
  • 19 篇 shanying zhu
  • 18 篇 zhu shanying
  • 18 篇 cailian chen
  • 17 篇 ren hai-peng
  • 16 篇 he jianping
  • 15 篇 liu ding
  • 14 篇 yang bo
  • 14 篇 xie guo
  • 14 篇 dewei li
  • 14 篇 xinping guan
  • 14 篇 zhang youmin
  • 14 篇 yingmin yi
  • 13 篇 jianping he

语言

  • 810 篇 英文
  • 19 篇 中文
  • 13 篇 其他
检索条件"机构=Shanxi Key Laboratory of Complex System Control and Intelligent Information Processing"
842 条 记 录,以下是751-760 订阅
排序:
Backlash neural network model for hysteresis nonlinearity
收藏 引用
Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology 2007年 第SUPPL. 1期27卷 226-230页
作者: Liao, Xiao-Zhong Lu, Guo-Hui Liu, Xiang-Dong Department of Automatic Control School of Information Science and Technology Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Beijing 100081 China
A Backlash neural network model is proposed for the systems with hysteresis nonlinearity. In order to approximate the hysteresis nonlinearity, Backlash-type operators are used as one layer of the neural network. Then,... 详细信息
来源: 评论
Utility-Oriented Underwater Image Quality Assessment Based on Transfer Learning
arXiv
收藏 引用
arXiv 2022年
作者: Chen, Weiling Lin, Rongfu Liao, Honggang Zhao, Tiesong Gu, Ke Le Callet, Patrick Fujian Key Lab for Intelligent Processing and Wireless Transmission of Media Information Fuzhou University Fuzhou350108 China Peng Cheng Laboratory Shenzhen518000 China The Faculty of Information Technology Beijing University of Technology Engineering Research Center of Intelligent Perception and Autonomous Control Ministry of Education Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing Artificial Intelligence Institute Beijing100124 China Équipe Image Perception et Interaction Laboratoire des Sciences du Numérique de Nantes Université de Nantes France
The widespread image applications have greatly promoted the vision-based tasks, in which the Image Quality Assessment (IQA) technique has become an increasingly significant issue. For user enjoyment in multimedia syst... 详细信息
来源: 评论
A Many-Objective Evolutionary Algorithm Assisted by Ideal Hyperplane
SSRN
收藏 引用
SSRN 2022年
作者: Zhang, Zhixia Wen, Jie Wang, Hui Cai, Xingjuan Cui, Zhihua Zhang, Wensheng School of Computer Science and Technology Taiyuan University of Science and Technology China School of Information Engineering Nanchang Institute of Technology Nanchang330099 China State Key Laboratory of Intelligent Control and Management of Complex System Institute of Automation Chinese Academy of Sciences China State Key Lab. for Novel Software Technology Nanjing University China
In many-objective optimization problems (MaOPs), it is a difficult task for evolutionary algorithms to balance convergence and diversity while rapidly converging to the Pareto front. As the number of objectives increa... 详细信息
来源: 评论
Algorithm of improved marriage in honey bees optimization and convergence analysis
收藏 引用
Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology 2007年 第SUPPL. 1期27卷 80-84页
作者: Yang, Chen-Guang Cai, Tao Tu, Xu-Yan Department of Automatic Control School of Information Science and Technology Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Beijing 100081 China
One problem of marriage in honey bees optimization (MBO) is that its complex computation process will limit its applications. The paper proposed an improved marriage honey bees optimization (IMBO). By randomly initial... 详细信息
来源: 评论
Recurrent Attentional Reinforcement Learning for Machinery Fault Diagnosis
SSRN
收藏 引用
SSRN 2024年
作者: Tang, Zhenhui Wang, Jingcheng Wu, Shunyu The Department of Automation The Key Laboratory of System Control and Information Processing Ministry of Education of China The Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University No.800 Dongchuan Road Shanghai200240 China The SJTU Sanya Yazhou Bay Institute of Deepsea Science and Technology Sanya572024 China The Autonomous Systems and Intelligent Control International Joint Research Center Xi’an Technological University Xi’an710021 China
Recognizing fault types of machinery system is a fundamental but challenging task in industrial application. Although remarkable progress has been attained by learning fault features and predicting the corresponded fa... 详细信息
来源: 评论
A Performance-Based Model Recovery Anti-Windup Design for Linear systems Subject to Actuator Saturation
A Performance-Based Model Recovery Anti-Windup Design for Li...
收藏 引用
American control Conference (ACC)
作者: Wenxin Lai Yuanlong Li Zongli Lin Department of Automation Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai China Charles L. Brown Department of Electrical and Computer Engineering University of Virginia Char-lottesville VA U.S.A.
In this paper, we investigate the problem of reference tracking for a class of linear systems subject to actuator saturation and propose a performance-based model recovery anti-windup strategy. We adopt the classic mo... 详细信息
来源: 评论
Giant-cavity-based quantum sensors with enhanced performance
arXiv
收藏 引用
arXiv 2022年
作者: Zhu, Y.T. Wu, R.B. Peng, Z.H. Xue, Shibei Department of Automation Shanghai Jiao Tong University Shanghai200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai200240 China Center for intelligent and networked systems Department of Automation Tsinghua University Beijing100084 China Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education Key Laboratory for Matter Microstructure and Function of Hunan Province Department of Physics Synergetic Innovation Center for Quantum Effects and Applications Hunan Normal University Changsha410081 China
Recent progresses have revealed that quantum systems with multiple position-dependent couplings, e.g., giant atoms, can exhibit some unconventional phenomena, such as non-exponential decay etc. However, their potentia... 详细信息
来源: 评论
Incremental Online Learning of Randomized Neural Network with Forward Regularization
arXiv
收藏 引用
arXiv 2024年
作者: Wang, Junda Hu, Minghui Li, Ning Al-Ali, Abdulaziz Suganthan, Ponnuthurai Nagaratnam The Key Laboratory of System Control and Information Processing Ministry of Education of China China The Department of Automation Shanghai Jiao Tong University Shanghai200240 China The Shanghai Engineering Research Center of Intelligent Control and Management Shanghai200240 China The School of Electrical and Electronic Nanyang Technological University Singapore The KINDI Computing Research Center College of Engineering Qatar University Qatar
Online learning of deep neural networks suffers from challenges such as hysteretic non-incremental updating, increasing memory usage, past retrospective retraining, and catastrophic forgetting. To alleviate these draw...
来源: 评论
Joint Offloading Decision and Resource Allocation for Vehicular Fog-Edge Computing Networks: A Contract-Stackelberg Approach
arXiv
收藏 引用
arXiv 2022年
作者: Li, Yuwei Yang, Bo Wu, Hao Han, Qiaoni Chen, Cailian Guan, Xinping The Department of Automation Shanghai Jiao Tong University Shanghai200240 China Huawei Technologies Co. Ltd China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai200240 China The Department of Automation Tianjin University Tianjin 300072 China
With the popularity of mobile devices and development of computationally intensive applications, researchers are focusing on offloading computation to Mobile Edge Computing (MEC) server due to its high computational e... 详细信息
来源: 评论
Self-Organized Criticality in C. Elegans Neural Network
Self-Organized Criticality in C. Elegans Neural Network
收藏 引用
Chinese control Conference (CCC)
作者: Xiao Gu Jian Liu Ye Yuan Peng Zhao Kuankuan Xin Tao Fang Department of Automation Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai China Shanghai Engineering Research Centre of Intelligent Control and Management Shanghai China Institute of Machine Intelligence University of Shanghai for Science and Technology Shanghai China Queensland Brain Institute The University of Queensland Brisbane QLD Australia
The self-organized criticality is a fundamental property for organisms to perform normal functional activities. Extensive large-scale biological neural network researches have found the existence of self-organized cri...
来源: 评论