IOCAS-IR

浏览/检索结果: 共18条,第1-10条 帮助

限定条件                        
已选(0)清除 条数/页:   排序方式:
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:349/0  |  提交时间:2020/03/20
Short-term traffic forecasting  spatial-temporal dependency  network topology  graph convolution  residual long short-term memory  
The Optimal Precursors for ENSO Events Depicted Using the Gradient-definition-based Method in an Intermediate Coupled Model 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2019, 卷号: 36, 期号: 12, 页码: 1381-1392
作者:  Mu, Bin;  Ren, Juhui;  Yuan, Shijin;  Zhang, Rong-Hua;  Chen, Lei;  Gao, Chuan
Adobe PDF(1429Kb)  |  收藏  |  浏览/下载:197/0  |  提交时间:2020/09/21
optimal precursor  ENSO  gradient-definition-based method  conditional nonlinear optimal perturbation  intermediate coupled model  
Bimodality and growth of the spectra of typhoon-generated waves in northern South China Sea 期刊论文
ACTA OCEANOLOGICA SINICA, 2019, 卷号: 38, 期号: 11, 页码: 70-80
作者:  Mo, Dongxue;  Liu, Yahao;  Hou, Yijun;  Liu, Ze
Adobe PDF(1500Kb)  |  收藏  |  浏览/下载:248/0  |  提交时间:2020/09/21
double peak  South China Sea  spectral parameters  typhoon  wave spectrum  
Analysis of typhoon wind hazard in Shenzhen City by Monte-Carlo Simulation 期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2019, 卷号: 37, 期号: 6, 页码: 1994-2013
作者:  Guo Yunxia;  Hou Yijun;  Qi Peng
Adobe PDF(2079Kb)  |  收藏  |  浏览/下载:154/0  |  提交时间:2020/09/21
typhoon hazard analysis  Monte-Carlo simulation  wind field model  extreme wind speed  
Numerical simulation and preliminary analysis of typhoon waves during three typhoons in the Yellow Sea and East China Sea 期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2019, 卷号: 37, 期号: 6, 页码: 1805-1816
作者:  Wang Ning;  Hou Yijun;  Li Shuiqing;  Li Rui
Adobe PDF(2184Kb)  |  收藏  |  浏览/下载:157/0  |  提交时间:2020/09/21
Holland  simulating waves nearshore (SWAN)  typhoon waves  Yellow Sea  East China Sea  wind-sea  swell  
Decadal SST Variability in the Southeast Indian Ocean and Its Impact on Regional Climate 期刊论文
JOURNAL OF CLIMATE, 2019, 卷号: 32, 期号: 19, 页码: 6299-6318
作者:  Li, Yuanlong;  Han, Weiqing;  Zhang, Lei;  Wang, Fan
Adobe PDF(466Kb)  |  收藏  |  浏览/下载:307/0  |  提交时间:2020/01/03
Ocean dynamics  Sea surface temperature  Decadal variability  
Interannual to Decadal Variability of Upper-Ocean Salinity in the Southern Indian Ocean and the Role of the Indonesian Throughflow 期刊论文
JOURNAL OF CLIMATE, 2019, 卷号: 32, 期号: 19, 页码: 6403-6421
作者:  Hu, Shijian;  Zhang, Ying;  Feng, Ming;  Du, Yan;  Sprintall, Janet;  Wang, Fan;  Hu, Dunxin;  Xie, Qiang;  Chai, Fei
Adobe PDF(4881Kb)  |  收藏  |  浏览/下载:441/0  |  提交时间:2020/01/03
Indian Ocean  Advection  Atmosphere-ocean interaction  ENSO  Ocean circulation  Thermocline  
Short-Term Prediction of Bus Passenger Flow Based on a Hybrid Optimized LSTM Network 期刊论文
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2019, 卷号: 8, 期号: 9, 页码: 24
作者:  Han, Yong;  Wang, Cheng;  Ren, Yibin;  Wang, Shukang;  Zheng, Huangcheng;  Chen, Ge
Adobe PDF(9994Kb)  |  收藏  |  浏览/下载:323/0  |  提交时间:2020/01/03
passenger flow  short-term prediction  long short-term memory network  hybrid optimization algorithm  
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:318/0  |  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:285/0  |  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