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How to capture tourists' search behavior in tourism forecasts? A two-stage feature selection approach 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2023, 卷号: 213, 页码: 9
作者:  Sun, Shaolong;  Hu, Mengyuan;  Wang, Shouyang;  Zhang, Chengyuan
收藏  |  浏览/下载：142/0  |  提交时间：2023/02/07
Tourism demand forecasting  Search engine data  Two -stage feature selection  Genetic algorithm  Kernel extreme learning machine  
IMPROVING MULTI-STEP AHEAD TOURISM DEMAND FORECASTING: A STRATEGY-DRIVEN APPROACH 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2022, 卷号: 210, 页码: 34
作者:  Sun, Shaolong;  Du, Zongjuan;  Zhang, Chengyuan;  Wang, Shouyang
收藏  |  浏览/下载：67/0  |  提交时间：2023/02/07
Tourism demand forecasting  Multi-step ahead strategies  MIMO  DIRMO  Extreme learning machine  
Multi-step ahead tourism demand forecasting: The perspective of the learning using privileged information paradigm 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2022, 卷号: 210, 页码: 12
作者:  Sun, Shaolong;  Li, Mingchen;  Wang, Shouyang;  Zhang, Chengyuan
收藏  |  浏览/下载：64/0  |  提交时间：2023/02/07
Tourism demand  Multi -step ahead forecasting  Privileged information  Machine learning  Kernel random vector functional link network  
Distributed stochastic gradient tracking methods with momentum acceleration for non-convex optimization 期刊论文
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 2022, 页码: 42
作者:  Gao, Juan;  Liu, Xin-Wei;  Dai, Yu-Hong;  Huang, Yakui;  Gu, Junhua
收藏  |  浏览/下载：98/0  |  提交时间：2023/02/07
Distributed non-convex optimization  Machine learning  Momentum methods  Optimization algorithms  Convergence rate  
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：62/0  |  提交时间：2023/02/07
Crime inference  Public security  Spatial heterogeneity  Time-lag effect  Machine learning  
Forecasting daily tourism volume: a hybrid approach with CEMMDAN and multi-kernel adaptive ensemble 期刊论文
CURRENT ISSUES IN TOURISM, 2022, 页码: 20
作者:  Zhao, Erlong;  Du, Pei;  Azaglo, Ernest Young;  Wang, Shouyang;  Sun, Shaolong
收藏  |  浏览/下载：169/0  |  提交时间：2022/04/29
Daily tourism volume forecasting  decomposition ensemble approach  sample entropy  kernel extreme learning machine  multi-kernel adaptive strategy  
Air quality forecasting with artificial intelligence techniques: A scientometric and content analysis 期刊论文
ENVIRONMENTAL MODELLING & SOFTWARE, 2022, 卷号: 149, 页码: 17
作者:  Li, Yanzhao;  Guo, Ju-e;  Sun, Shaolong;  Li, Jianing;  Wang, Shouyang;  Zhang, Chengyuan
收藏  |  浏览/下载：99/0  |  提交时间：2022/06/21
Air quality forecasting  Artificial intelligence  Machine learning  Scientometrics  Content analysis  
A novel machine learning-based electricity price forecasting model based on optimal model selection strategy 期刊论文
ENERGY, 2022, 卷号: 238, 页码: 14
作者:  Yang, Wendong;  Sun, Shaolong;  Hao, Yan;  Wang, Shouyang
收藏  |  浏览/下载：161/0  |  提交时间：2022/04/02
Electricity price  Forecasting  Hybrid model  Model selection  Kernel-based extreme learning machine  
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