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A novel hybrid decomposition-ensemble model based on VMD and HGWO for container throughput forecasting 期刊论文
APPLIED MATHEMATICAL MODELLING, 2018, 卷号: 57, 页码: 163-178
Authors:  Niu, Mingfei;  Hu, Yueyong;  Sun, Shaolong;  Liu, Yu
Favorite  |  View/Download:16/0  |  Submit date:2018/07/30
Container throughput forecasting  Variational mode decomposition  Support vector regression  Hybridizing grey wolf optimization  Hybrid decomposition-ensemble model  
Assessing Potentiality of Support Vector Machine Method in Crude Oil Price Forecasting 期刊论文
EURASIA JOURNAL OF MATHEMATICS SCIENCE AND TECHNOLOGY EDUCATION, 2017, 卷号: 13, 期号: 12, 页码: 7893-7904
Authors:  Yu, Lean;  Zhang, Xun;  Wang, Shouyang
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support vector machines  artificial neural networks  ARIMA model  ARFIMA model  Markov-switching ARFIMA model  
Analysis of road transportation energy consumption demand in China 期刊论文
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2016, 卷号: 48, 页码: 112-124
Authors:  Chai, Jian;  Lu, Quan-Ying;  Wang, Shou-Yang;  Lai, Kin Keung
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Road transportation energy consumption  Trend analysis  Path analysis  BMA  ETS  ARIMA  
Improving Forecasting Performance by Exploiting Expert Knowledge: Evidence from Guangzhou Port 期刊论文
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, 2016, 卷号: 15, 期号: 2, 页码: 387-401
Authors:  Huang, Anqiang;  Qiao, Han;  Wang, Shouyang;  Liu, John
Favorite  |  View/Download:3/0  |  Submit date:2018/07/30
Container throughput forecast  expert knowledge  subjective judgment  
amultiscalemodelingapproachincorporatingarimaandannsforfinancialmarketvolatilityforecasting 期刊论文
journalofsystemsscienceandcomplexity, 2014, 卷号: 27, 期号: 1, 页码: 225
Authors:  Xiao Yi;  Xiao Jin;  Liu John;  Wang Shouyang
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A new method for crude oil price forecasting based on support vector machines 期刊论文
COMPUTATIONAL SCIENCE - ICCS 2006, PT 4, PROCEEDINGS, 2006, 卷号: 3994, 页码: 444-451
Authors:  Xie, Wen;  Yu, Lean;  Xu, Shanying;  Wang, Shouyang
Favorite  |  View/Download:4/0  |  Submit date:2018/07/30