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A novel residual graph convolution deep learning model for short-term network-based traffic forecasting 期刊论文
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2019, 卷号: 34, 期号: 5, 页码: 27
作者:  Zhang, Yang;  Cheng, Tao;  Ren, Yibin;  Xie, Kun
Adobe PDF(4145Kb)  |  收藏  |  浏览/下载：326/0  |  提交时间：2020/03/20
Short-term traffic forecasting  spatial-temporal dependency  network topology  graph convolution  residual long short-term memory  
A hybrid integrated deep learning model for the prediction of citywide spatio-temporal flow volumes 期刊论文
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2019, 页码: 22
作者:  Ren, Yibin;  Chen, Huanfa;  Han, Yong;  Cheng, Tao;  Zhang, Yang;  Chen, Ge
Adobe PDF(3526Kb)  |  收藏  |  浏览/下载：305/0  |  提交时间：2019/11/14
Spatio-temporal flow volume  prediction  deep learning  LSTM  ResNet  
Temporal and spatial statistics of travelling eddy variability in the South China Sea 期刊论文
OCEAN DYNAMICS, 2019, 卷号: 69, 期号: 8, 页码: 879-898
作者:  Zhang, Meng;  von Storch, Hans;  Chen, Xueen;  Wang, Dongxiao;  Li, Delei
Adobe PDF(5790Kb)  |  收藏  |  浏览/下载：259/0  |  提交时间：2020/01/03
South China Sea  Statistics of travelling eddies  Variability of characteristics of eddies  Simulation with eddy-permitting model  Internal vs. external variability  
Generation and Propagation of M-2 Internal Tides Modulated by the Kuroshio Northeast of Taiwan 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2019, 卷号: 124, 期号: 4, 页码: 2728-2749
作者:  Chang, Hang;  Xu, Zhenhua;  Yin, Baoshu;  Houl, Yijun;  Liu, Yahao;  Li, Delei;  Wang, Yang;  Cao, Shengshan;  Liu, Antony K.
Adobe PDF(21265Kb)  |  收藏  |  浏览/下载：285/0  |  提交时间：2019/07/08
internal tides  Kuroshio  western Pacific  numerical simulaton  mixing