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科研机构
数学与系统科学研究... [15]
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期刊论文 [15]
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2023 [1]
2022 [5]
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专题:数学与系统科学研究院
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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:209/0
  |  
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:204/0
  |  
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:203/0
  |  
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
CURRENT ISSUES IN TOURISM, 2022, 页码: 24
作者:
Li, Mingchen
;
Zhang, Chengyuan
;
Wang, Shouyang
;
Sun, Shaolong
收藏
  |  
浏览/下载:207/0
  |  
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
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:203/0
  |  
提交时间:2023/02/07
bi-directional gated recurrent unit
search engine data
stacked autoencoders
tourism volume forecasting
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
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2022/06/21
Air quality forecasting
Artificial intelligence
Machine learning
Scientometrics
Content analysis
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
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  |  
浏览/下载:15/0
  |  
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
Air pollution forecasting with multivariate interval decomposition ensemble approach
期刊论文
ATMOSPHERIC POLLUTION RESEARCH, 2021, 卷号: 12, 期号: 12, 页码: 14
作者:
Dong, Yawei
;
Zhang, Chengyuan
;
Niu, Mingfei
;
Wang, Shouyang
;
Sun, Shaolong
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2022/04/02
Daily PM 10 concentration forecast
Air quality
Interval forecasting
Noise-assisted multivariate empirical mode
decomposition
Maximum mutual information
The impact of COVID-19 on hotel customer satisfaction: evidence from Beijing and Shanghai in China
期刊论文
INTERNATIONAL JOURNAL OF CONTEMPORARY HOSPITALITY MANAGEMENT, 2021, 页码: 25
作者:
Sun, Shaolong
;
Jiang, Fuxin
;
Feng, Gengzhong
;
Wang, Shouyang
;
Zhang, Chengyuan
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2022/04/02
COVID-19
Hotel reviews
Text mining
Word2vec
Cluster analysis
Topic model
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:4/0
  |  
提交时间:2022/04/02
tourism demand forecasting
decomposition methods
variational mode decomposition
decomposition and ensemble
machine learning
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