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A Learning-Based Framework for Error Compensation in 3-D Printing 期刊论文
IEEE Transactions on Cybernetics, 2019, 卷号: 49, 期号: 11, 页码: 4042-4050
Authors:  Shen Z(沈震);  Shang XQ(商秀芹);  Zhao MH(赵美华);  Xiong G(熊刚);  Wang FY(王飞跃)
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3d Printing  Additive Manufacturing  Cyber Physical System (Cps)  Deep Learning  Error Compensation  
Dual L-1-Normalized Context Aware Tensor Power Iteration and Its Applications to Multi-object Tracking and Multi-graph Matching 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2019, 页码: 33
Authors:  Hu, Weiming;  Shi, Xinchu;  Zhou, Zongwei;  Xing, Junliang;  Ling, Haibin;  Maybank, Stephen
Favorite  |  View/Download:10/0  |  Submit date:2019/12/16
Multi-dimensional assignment  Context  hyper-context aware tensor power iteration  Multi-object tracking  Multi-graph matching  
Social Manufacturing: A Paradigm Shift for Smart Prosumers in the Era of Societies 5.0 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2019, 卷号: 6, 期号: 5, 页码: 822-829
Authors:  Feign-Yue Wang;  Shang XQ(商秀芹);  Ruin Qin;  Gang Xiong;  Timo R. Nyberg
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Social Manufacturing  
基于深度学习的微观脑连接图谱重建方法研究 学位论文
, 北京: 中国科学院大学, 2019
Authors:  肖驰
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微观脑连接图谱  电子显微图像  卷积神经网络  深度学习  图像分割  
基于区间二型模糊系统的高超声速飞行器巡航控制研究 学位论文
工学博士, 北京: 中国科学院大学, 2019
Authors:  陶新龙
Adobe PDF(16348Kb)  |  Favorite  |  View/Download:47/0  |  Submit date:2019/06/06
高超声速飞行器  区间二型模糊系统  测量噪声  状态估计器  小增益理论  
深度神经网络结构:从人工设计到自动学习 学位论文
工学博士, 中科院自动化研究所: 中国科学院大学, 2019
Authors:  钟钊
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深度神经网络  深度学习  网络结构搜索  强化学习  机器学习  
Reconstruction of Fluorescence Molecular Tomography via a Fused LASSO Method Based on Group Sparsity Prior 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2019, 卷号: 66, 期号: 5, 页码: 1361-1371
Authors:  Jiang, Shixin;  Liu, Jie;  Zhang, Guanglei;  An, Yu;  Meng, Hui;  Gao, Yuan;  Wang, Kun;  Tian, Jie
View  |  Adobe PDF(5641Kb)  |  Favorite  |  View/Download:31/2  |  Submit date:2019/07/11
Fluorescence molecular tomography  image reconstruction  fused LASSO method  group sparsity  
人工神经网络中连续学习与情境学习的算法设计与研究 研究报告
2019
Authors:  陈阳
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类脑智能,连续学习,情境学习,正交权重修改算法,情境信息处理模块  
Adaptive Neural State-Feedback Tracking Control of Stochastic Nonlinear Switched Systems: An Average Dwell-Time Method 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 4, 页码: 1076-1087
Authors:  Niu, Ben;  Wang, Ding;  Alotaibi, Naif D.;  Alsaadi, Fuad E.
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Adaptive tracking control  average dwell time (ADT)  neural networks (NNs)  nonstrict-feedback structure  stochastic nonlinear systems  switched nonlinear systems  
Universal Approximation Capability of Broad Learning System and Its Structural Variations 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 4, 页码: 1191-1204
Authors:  Chen, C. L. Philip;  Liu, Zhulin;  Feng, Shuang
Favorite  |  View/Download:13/0  |  Submit date:2019/12/16
Broad learning system (BLS)  deep learning  face recognition  functional link neural networks (FLNNs)  non-linear function approximation  time-variant big data modeling  universal approximation