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Data-driven peakon and periodic peakon solutions and parameter discovery of some nonlinear dispersive equations via deep learning 期刊论文
PHYSICA D-NONLINEAR PHENOMENA, 2021, 卷号: 428, 页码: 15
作者:  Wang, Li;  Yan, Zhenya
收藏  |  浏览/下载：116/0  |  提交时间：2022/04/02
Nonlinear dispersive equation  Initial-boundary value conditions  Physics-informed neural networks  Deep learning  Data-driven peakon and periodic peakon  solutions Data-driven parameter discovery  
Multi-step metal prices forecasting based on a data preprocessing method and an optimized extreme learning machine by marine predators algorithm 期刊论文
RESOURCES POLICY, 2021, 卷号: 74, 页码: 10
作者:  Du, Pei;  Guo, Ju'e;  Sun, Shaolong;  Wang, Shouyang;  Wu, Jing
收藏  |  浏览/下载：148/0  |  提交时间：2022/04/02
Metal prices forecasting  Data processing method  Optimized extreme learning machine  Hybrid forecasting model  
Estimation of Real-World Fuel Consumption Rate of Light-Duty Vehicles Based on the Records Reported by Vehicle Owners 期刊论文
ENERGIES, 2021, 卷号: 14, 期号: 23, 页码: 19
作者:  Zeng, Isabella Yunfei;  Tan, Shiqi;  Xiong, Jianliang;  Ding, Xuesong;  Li, Yawen;  Wu, Tian
收藏  |  浏览/下载：138/0  |  提交时间：2022/04/02
real-world fuel consumption rate  machine learning  big data  light-duty vehicle  China  
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：111/0  |  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)  
Stimuli strategy and learning dynamics promote the wisdom of crowds 期刊论文
EUROPEAN PHYSICAL JOURNAL B, 2021, 卷号: 94, 期号: 12, 页码: 8
作者:  Li Zhenpeng;  Tang Xijin
收藏  |  浏览/下载：123/0  |  提交时间：2022/04/02
Forecasting hourly PM2.5 based on deep temporal convolutional neural network and decomposition method 期刊论文
APPLIED SOFT COMPUTING, 2021, 卷号: 113, 页码: 15
作者:  Jiang, Fuxin;  Zhang, Chengyuan;  Sun, Shaolong;  Sun, Jingyun
收藏  |  浏览/下载：117/0  |  提交时间：2022/04/29
PM2.5 concentration forecasting  Complete ensemble empirical mode  decomposition with adaptive noise  Temporal convolutional  Data patterns  Deep learning  
Towards embedding information diffusion data for understanding big dynamic networks 期刊论文
NEUROCOMPUTING, 2021, 卷号: 466, 页码: 265-284
作者:  Yang, Hong;  Zhang, Peng;  Wang, Haishuai;  Zhou, Chuan;  Li, Zhao;  Gao, Li;  Tan, Qingfeng
收藏  |  浏览/下载：133/0  |  提交时间：2022/04/02
Network coarsening  Information diffusion  Graph data mining  
OnsagerNet: Learning stable and interpretable dynamics using a generalized Onsager principle 期刊论文
PHYSICAL REVIEW FLUIDS, 2021, 卷号: 6, 期号: 11, 页码: 32
作者:  Yu, Haijun;  Tian, Xinyuan;  Weinan, E.;  Li, Qianxiao
收藏  |  浏览/下载：98/0  |  提交时间：2022/04/02
A Network Evolution Model of Credit Risk Contagion between Banks and Enterprises Based on Agent-Based Model 期刊论文
JOURNAL OF MATHEMATICS, 2021, 卷号: 2021, 页码: 12
作者:  Mu, Pei;  Chen, Tingqiang;  Pan, Kun;  Liu, Meng
收藏  |  浏览/下载：107/0  |  提交时间：2022/04/02
Exploring Statistical Arbitrage Opportunities Using Machine Learning Strategy 期刊论文
COMPUTATIONAL ECONOMICS, 2021, 页码: 22
作者:  Zhan, Baoqiang;  Zhang, Shu;  Du, Helen S.;  Yang, Xiaoguang
收藏  |  浏览/下载：119/0  |  提交时间：2022/04/02
Statistical arbitrage  Cointegration  Machine learning  Opportunities exploration