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A novel deep learning approach for tourism volume forecasting with tourist search data 期刊论文
INTERNATIONAL JOURNAL OF TOURISM RESEARCH, 2022, 页码: 15
Authors:  Li, Mingchen;  Zhang, Chengyuan;  Sun, Shaolong;  Wang, Shouyang
Favorite  |  View/Download：31/0  |  Submit date：2023/02/07
bi-directional gated recurrent unit  search engine data  stacked autoencoders  tourism volume forecasting  
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
Authors:  Li, Yuze;  Wang, Shouyang;  Wei, Yunjie;  Zhu, Qing
Favorite  |  View/Download：78/0  |  Submit date：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)  
Causal convolutional gated recurrent unit network with multiple decomposition methods for short-term wind speed forecasting 期刊论文
ENERGY CONVERSION AND MANAGEMENT, 2020, 卷号: 226, 页码: 15
Authors:  Zhang, Guowei;  Liu, Da
Favorite  |  View/Download：98/0  |  Submit date：2021/04/26
Causal convolutional network  Gated recurrent unit  Multiple decomposition methods  Short-term wind speed forecasting  
Combining STRIPAT model and gated recurrent unit for forecasting nature gas consumption of China 期刊论文
MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE, 2020, 页码: 19
Authors:  Xiao, Yi;  Li, Keying;  Hu, Yi;  Xiao, Jin;  Wang, Shouyang
Favorite  |  View/Download：112/0  |  Submit date：2020/09/23
Natural gas consumption forecasting  Emission reduction  Deep learning  STRIPAT model  Gated recurrent unit model  Bagging  
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
Authors:  Zhu, Qing;  Zhang, Fan;  Liu, Shan;  Wu, Yiqiong;  Wang, Lin
Favorite  |  View/Download：131/0  |  Submit date：2020/01/10
BiGRU  Rubber futures  Time series  VMD  Volatility prediction