中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共6条，第1-6条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
Parallel Control for Optimal Tracking via Adaptive Dynamic Programming 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2020, 卷号: 7, 期号: 6, 页码: 1662-1674
作者:  Lu, Jingwei;  Wei, Qinglai;  Wang, Fei-Yue
浏览  |  Adobe PDF(7214Kb)  |  收藏  |  浏览/下载：355/63  |  提交时间：2021/01/06
Adaptive dynamic programming (ADP)  nonlinear optimal control  parallel controller  parallel control theory  parallel system  tracking control  neural network (NN)  
Parallel Transportation Systems: Toward IoT-Enabled Smart Urban Traffic Control and Management 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2020, 卷号: 21, 期号: 10, 页码: 4063 - 4071
作者:  Fenghua Zhu;  Yisheng Lv;  Yuanyuan Chen;  Xiao Wang;  Gang Xiong;  Fei-Yue Wang
浏览  |  Adobe PDF(2879Kb)  |  收藏  |  浏览/下载：475/234  |  提交时间：2020/10/15
Intelligent transportation systems  
Association ofDTNBP1With Schizophrenia: Findings From Two Independent Samples of Han Chinese Population 期刊论文
FRONTIERS IN PSYCHIATRY, 2020, 卷号: 11, 页码: 9
作者:  Yang, Yongfeng;  Zhang, Luwen;  Guo, Dong;  Zhang, Lin;  Yu, Hongyan;  Liu, Qing;  Su, Xi;  Shao, Minglong;  Song, Men;  Zhang, Yan;  Ding, Minli;  Lu, Yanli;  Liu, Bing;  Li, Wenqiang;  Yue, Weihua;  Fan, Xiaoduo;  Yang, Ge;  Lv, Luxian
收藏  |  浏览/下载：246/0  |  提交时间：2020/08/03
schizophrenia  DTNBP1  polymorphism  psychotic symptoms  cognition  
A parallel vision approach to scene-specific pedestrian detection 期刊论文
NEUROCOMPUTING, 2020, 卷号: 394, 页码: 114-126
作者:  Zhang, Wenwen;  Wang, Kunfeng;  Liu, Yating;  Lu, Yue;  Wang, Fei-Yue
Adobe PDF(4090Kb)  |  收藏  |  浏览/下载：371/55  |  提交时间：2020/06/22
Pedestrian detection  Specific scene  Synthetic data  Video surveillance  Parallel vision  
Traffic Flow Imputation Using Parallel Data and Generative Adversarial Networks 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 卷号: 21, 期号: 4, 页码: 1624-1630
作者:  Chen, Yuanyuan;  Lv, Yisheng;  Wang, Fei-Yue
浏览  |  Adobe PDF(2070Kb)  |  收藏  |  浏览/下载：391/67  |  提交时间：2020/06/02
Generators  Data models  Gallium nitride  Generative adversarial networks  Training  Loss measurement  Biological system modeling  Parallel data  generative adversarial networks  traffic flow imputation  data augmentation  deep learning  
Learning Driving Models From Parallel End-to-End Driving Data Set 期刊论文
PROCEEDINGS OF THE IEEE, 2020, 卷号: 108, 期号: 2, 页码: 262-273
作者:  Chen, Long;  Wang, Qing;  Lu, Xiankai;  Cao, Dongpu;  Wang, Fei-Yue
收藏  |  浏览/下载：242/0  |  提交时间：2020/03/30
Data models  Training  Adaptation models  Task analysis  Reinforcement learning  Decision making  Transforms  Data set  end-to-end driving  parallel driving