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An anticrime information support system design: Application of K-means-VMD-BiGRU in the city of Chicago 期刊论文
INFORMATION & MANAGEMENT, 2022, 卷号: 59, 期号: 5, 页码: 13
作者:  Zhu, Qing;  Zhang, Fan;  Liu, Shan;  Li, Yuze
收藏  |  浏览/下载：60/0  |  提交时间：2023/02/07
Crime inference  Public security  Spatial heterogeneity  Time-lag effect  Machine learning  
Seasonal and trend forecasting of tourist arrivals: An adaptive multiscale ensemble learning approach 期刊论文
INTERNATIONAL JOURNAL OF TOURISM RESEARCH, 2022, 页码: 18
作者:  Xing, Guangyuan;  Sun, Shaolong;  Bi, Dan;  Guo, Ju-e;  Wang, Shouyang
收藏  |  浏览/下载：117/0  |  提交时间：2022/04/02
ensemble learning  least square support vector regression  seasonality  tourism demand forecasting  variational mode decomposition  
Artificial bee colony-based combination approach to forecasting agricultural commodity prices 期刊论文
INTERNATIONAL JOURNAL OF FORECASTING, 2022, 卷号: 38, 期号: 1, 页码: 21-34
作者:  Wang, Jue;  Wang, Zhen;  Li, Xiang;  Zhou, Hao
收藏  |  浏览/下载：123/0  |  提交时间：2022/04/02
Agricultural commodity price  Forecast combination  Semi-heterogeneous combination  Artificial bee colony algorithm  Denoising technique  
A New Hybrid VMD-ICSS-BiGRU Approach for Gold Futures Price Forecasting and Algorithmic Trading 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2021, 卷号: 8, 期号: 6, 页码: 1357-1368
作者:  Li, Yuze;  Wang, Shouyang;  Wei, Yunjie;  Zhu, Qing
收藏  |  浏览/下载：109/0  |  提交时间：2022/04/02
Gold  Forecasting  Autoregressive processes  Predictive models  Signal resolution  Deep learning  Mathematical model  Algorithmic trading  bidirectional gated recurrent unit (BiGRU)  gold futures price forecasting  variational mode decomposition (VMD)  
The role of news sentiment in oil futures returns and volatility forecasting: Data-decomposition based deep learning approach 期刊论文
ENERGY ECONOMICS, 2021, 卷号: 95, 页码: 11
作者:  Li, Yuze;  Jiang, Shangrong;  Li, Xuerong;  Wang, Shouyang
收藏  |  浏览/下载：148/0  |  提交时间：2021/04/26
News sentiment  Returns and volatility forecasting  Variational mode decomposition  Deep learning  
A hybrid VMD-BiGRU model for rubber futures time series forecasting 期刊论文
APPLIED SOFT COMPUTING, 2019, 卷号: 84, 页码: 13
作者:  Zhu, Qing;  Zhang, Fan;  Liu, Shan;  Wu, Yiqiong;  Wang, Lin
收藏  |  浏览/下载：162/0  |  提交时间：2020/01/10
BiGRU  Rubber futures  Time series  VMD  Volatility prediction  
A new multiscale decomposition ensemble approach for forecasting exchange rates 期刊论文
ECONOMIC MODELLING, 2019, 卷号: 81, 页码: 49-58
作者:  Sun, Shaolong;  Wang, Shouyang;  Wei, Yunjie
收藏  |  浏览/下载：167/0  |  提交时间：2020/01/10
Exchange rates forecasting  Variational mode decomposition  Support vector regression  Support vector neural network  Ensemble learning  
A novel hybrid decomposition-ensemble model based on VMD and HGWO for container throughput forecasting 期刊论文
APPLIED MATHEMATICAL MODELLING, 2018, 卷号: 57, 页码: 163-178
作者:  Niu, Mingfei;  Hu, Yueyong;  Sun, Shaolong;  Liu, Yu
收藏  |  浏览/下载：142/0  |  提交时间：2018/07/30
Container throughput forecasting  Variational mode decomposition  Support vector regression  Hybridizing grey wolf optimization  Hybrid decomposition-ensemble model  
AFMPB: An adaptive fast multipole, Poisson-Boltzmann solver for calculating electrostatics in biomolecular systems 期刊论文
COMPUTER PHYSICS COMMUNICATIONS, 2010, 卷号: 181, 期号: 6, 页码: 1150-1160
作者:  Lu, Benzhuo;  Cheng, Xiaolin;  Huang, Jingfang;  McCammon, J. Andrew
收藏  |  浏览/下载：125/0  |  提交时间：2018/07/30
Poisson-Boltzmann equation  Boundary integral equation  Node-patch method  Krylov subspace methods  Fast multipole methods  Diagonal translations