中文版 | English

在结果中检索

CSpace

浏览/检索结果: 共10条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
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)  
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
Decomposition Methods for Tourism Demand Forecasting: A Comparative Study 期刊论文
JOURNAL OF TRAVEL RESEARCH, 2021, 页码: 18
作者:  Zhang, Chengyuan;  Li, Mingchen;  Sun, Shaolong;  Tang, Ling;  Wang, Shouyang
收藏  |  浏览/下载：114/0  |  提交时间：2022/04/02
tourism demand forecasting  decomposition methods  variational mode decomposition  decomposition and ensemble  machine learning  
Social media sentiment, model uncertainty, and volatility forecasting 期刊论文
ECONOMIC MODELLING, 2021, 卷号: 102, 页码: 13
作者:  Lehrer, Steven;  Xie, Tian;  Zhang, Xinyu
收藏  |  浏览/下载：104/0  |  提交时间：2021/10/26
Model averaging  Volatility forecasting  Social media  Big data  Sentiment analysis  
Stochastic greedy algorithms for maximizing constrained submodular plus supermodular functions 期刊论文
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2021, 页码: 9
作者:  Ji, Sai;  Xu, Dachuan;  Li, Min;  Wang, Yishui;  Zhang, Dongmei
收藏  |  浏览/下载：137/0  |  提交时间：2021/10/26
approximation algorithm  constrained  stochastic greedy  submodular plus supermodular maximization  
Online Active Learning for Drifting Data Streams 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:  Liu, Sanmin;  Xue, Shan;  Wu, Jia;  Zhou, Chuan;  Yang, Jian;  Li, Zhao;  Cao, Jie
收藏  |  浏览/下载：153/0  |  提交时间：2022/04/02
Labeling  Data models  Uncertainty  Biological system modeling  Computational modeling  Cognition  Adaptation models  Active learning  concept drift  data stream classification  online incremental learning  
Tourism demand forecasting: An ensemble deep learning approach 期刊论文
TOURISM ECONOMICS, 2021, 页码: 29
作者:  Sun, Shaolong;  Li, Yanzhao;  Guo, Ju-e;  Wang, Shouyang
收藏  |  浏览/下载：118/0  |  提交时间：2021/10/26
bagging  economic variables  ensemble deep learning  search intensity index  stacked autoencoder  tourism demand forecasting  
A new decomposition ensemble approach for tourism demand forecasting: Evidence from major source countries in Asia-Pacific region 期刊论文
INTERNATIONAL JOURNAL OF TOURISM RESEARCH, 2021, 页码: 14
作者:  Zhang, Chengyuan;  Jiang, Fuxin;  Wang, Shouyang;  Sun, Shaolong
收藏  |  浏览/下载：170/0  |  提交时间：2021/04/26
artificial intelligence  Asia‐  Pacific region  decomposition ensemble approach  NA‐  MEMD  tourism demand forecasting  
Decarbonizing China's power sector by 2030 with consideration of technological progress and cross-regional power transmission 期刊论文
ENERGY POLICY, 2021, 卷号: 150, 页码: 14
作者:  Xiao, Jin;  Li, Guohao;  Xie, Ling;  Wang, Shouyang;  Yu, Lean
收藏  |  浏览/下载：137/0  |  提交时间：2021/06/01
Decarbonization  Power sector  Structural optimization  Technology learning curve  Cross-regional power transmission  
Forecasting Chinese cruise tourism demand with big data: An optimized machine learning approach 期刊论文
TOURISM MANAGEMENT, 2021, 卷号: 82, 页码: 10
作者:  Xie, Gang;  Qian, Yatong;  Wang, Shouyang
收藏  |  浏览/下载：177/0  |  提交时间：2021/01/14
Cruise  Big data  Gravitational search algorithm  Tourism demand forecasting