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CASIA OpenIR
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Urban Trip Generation Forecasting Based on Gradient Boosting Algorithm 会议论文
, Beijing, China, 2021-7-15
作者:  Zhishuai Li;  Gang Xiong;  Yu Zhang;  Meng Zheng;  Xisong Dong;  Yisheng Lv
Adobe PDF(345Kb)  |  收藏  |  浏览/下载：239/68  |  提交时间：2022/06/16
Trip Purposes Mining From Mobile Signaling Data 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 99, 期号: 99, 页码: 13
作者:  Li, Zhishuai;  Xiong, Gang;  Wei, Zebing;  Zhang, Yu;  Zheng, Meng;  Liu, Xiaoli;  Tarkoma, Sasu;  Huang, Min;  Lv, Yisheng;  Wu, Chuheng
Adobe PDF(3962Kb)  |  收藏  |  浏览/下载：430/76  |  提交时间：2022/01/27
Cellular networks  Trajectory  Semantics  Unsupervised learning  Supervised learning  Resource management  Public transportation  Trip purpose inference  cellular network data  latent Dirichlet allocation  travel behavior  big data  
Pedestrian Trajectory Prediction Based on Deep Convolutional LSTM Network 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 22, 期号: 6, 页码: 3285-3302
作者:  Song, Xiao;  Chen, Kai;  Li, Xu;  Sun, Jinghan;  Hou, Baocun;  Cui, Yong;  Zhang, Baochang;  Xiong, Gang;  Wang, Zilie
收藏  |  浏览/下载：264/0  |  提交时间：2021/08/15
Trajectory  Predictive models  Neural networks  Force  Mathematical model  Feature extraction  Tensors  Pedestrian behavior  convolution  long short-term memory  neural network  
Transfer learning for nonlinear batch process operation optimization 期刊论文
JOURNAL OF PROCESS CONTROL, 2021, 卷号: 101, 页码: 11-23
作者:  Chu, Fei;  Wang, Jiachen;  Zhao, Xu;  Zhang, Shuning;  Chen, Tao;  Jia, Runda;  Xiong, Gang
收藏  |  浏览/下载：224/0  |  提交时间：2021/06/07
Transfer learning  Nonlinear batch process  Insufficient data  Operation optimization  Data selection  
TiDEC: A Two-Layered Integrated Decision Cycle for Population Evolution 期刊论文
IEEE Transactions on Cybernetics, 2021, 卷号: 51, 期号: 12, 页码: 5897-5906
作者:  Ye, Peijun;  Wang, Xiao;  Xiong, Gang;  Chen, Shichao;  Wang, Fei-Yue
浏览  |  Adobe PDF(1418Kb)  |  收藏  |  浏览/下载：324/115  |  提交时间：2020/03/18
Agent-based Model (Abm), Cognitive Architecture, Population Evolution.