机构

• 数学与系统科学研究... [16]
• 新疆理化技术研究所 [1]

采集方式

• OAI收割 [17]

内容类型

• 期刊论文 [17]

发表日期

• 2023 [1]
• 2022 [7]
• 2021 [5]
• 2020 [3]
• 2019 [1]

学科主题

筛选

浏览/检索结果: 共17条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 How to capture tourists' search behavior in tourism forecasts? A two-stage feature selection approach 期刊论文  OAI收割 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：28/0  |  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  OAI收割 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：21/0  |  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  OAI收割 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：36/0  |  提交时间：2023/02/07 Tourism demand  Multi -step ahead forecasting  Privileged information  Machine learning  Kernel random vector functional link network   Multi-scale analysis-driven tourism forecasting: insights from the peri-COVID-19 期刊论文  OAI收割 CURRENT ISSUES IN TOURISM, 2022, 页码: 24 作者:  Li, Mingchen;  Zhang, Chengyuan;  Wang, Shouyang;  Sun, Shaolong   |  收藏  |  浏览/下载：29/0  |  提交时间：2023/02/07 Tourism demand forecasting  divide and conquer  Facebook prophet  deep learning  peri-COVID-19 era   A novel deep learning approach for tourism volume forecasting with tourist search data 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF TOURISM RESEARCH, 2022, 页码: 15 作者:  Li, Mingchen;  Zhang, Chengyuan;  Sun, Shaolong;  Wang, Shouyang   |  收藏  |  浏览/下载：24/0  |  提交时间：2023/02/07 bi-directional gated recurrent unit  search engine data  stacked autoencoders  tourism volume forecasting   Daily tourism demand forecasting: the impact of complex seasonal patterns and holiday effects 期刊论文  OAI收割 CURRENT ISSUES IN TOURISM, 2022, 页码: 20 作者:  Liu, Yunhao;  Feng, Gengzhong;  Chin, Kwai-Sang;  Sun, Shaolong;  Wang, Shouyang   |  收藏  |  浏览/下载：44/0  |  提交时间：2022/06/21 Tourism demand forecasting  daily tourism demand  holiday effects  seasonal patterns  FB Prophet   Forecasting daily tourism volume: a hybrid approach with CEMMDAN and multi-kernel adaptive ensemble 期刊论文  OAI收割 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：44/0  |  提交时间：2022/04/29 Daily tourism volume forecasting  decomposition ensemble approach  sample entropy  kernel extreme learning machine  multi-kernel adaptive strategy   Seasonal and trend forecasting of tourist arrivals: An adaptive multiscale ensemble learning approach 期刊论文  OAI收割 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：50/0  |  提交时间：2022/04/02 ensemble learning  least square support vector regression  seasonality  tourism demand forecasting  variational mode decomposition   Decomposition Methods for Tourism Demand Forecasting: A Comparative Study 期刊论文  OAI收割 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：44/0  |  提交时间：2022/04/02 tourism demand forecasting  decomposition methods  variational mode decomposition  decomposition and ensemble  machine learning   Tourism demand forecasting: An ensemble deep learning approach 期刊论文  OAI收割 TOURISM ECONOMICS, 2021, 页码: 29 作者:  Sun, Shaolong;  Li, Yanzhao;  Guo, Ju-e;  Wang, Shouyang   |  收藏  |  浏览/下载：36/0  |  提交时间：2021/10/26 bagging  economic variables  ensemble deep learning  search intensity index  stacked autoencoder  tourism demand forecasting