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The Analysis for the Cargo Volume with Hybrid Discrete Wavelet Modeling
Xiao, Yi1; Wang, Shouyang2; Xiao, Ming3; Xiao, Jin4; Hu, Yi5
2017-05-01
发表期刊INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING
ISSN0219-6220
卷号16期号:3页码:851-863
摘要Many efforts have been made to the development of models that able to analyze and predict marine cargo volume. However, improving forecasting especially marine cargo throughput time series forecasting accuracy is an important yet often diffcult issue facing managers. In this study, a TEI@I methodology based hybrid forecasting model is proposed. The original time series are decomposed different scale components using discrete wavelet technique based on seasonality analysis of components. All decomposed components are predicted by radial basis function networks due to its flexible nonlinear modeling capability. Empirical results suggest that the use of discrete wavelet technique enhances the ability of monthly volatility mining and demonstrate consistent better performance of the proposed approach.
关键词Cargo volume analyzing radial basis function network discrete wavelet technique TEI@I methodology
DOI10.1142/S0219622015500285
语种英语
资助项目National Social Science Foundation of China[14BGL175] ; National Natural Science Foundation of China[71471124] ; National Natural Science Foundation of China[71301160] ; Sichuan Province Social Science Planning Project[SC14C019] ; Excellent Youth fund of Sichuan University[2013SCU04A08] ; Frontier and Cross-innovation Foundation of Sichuan University[skqy201352] ; Center for Forecasting Science of the Chinese Academy of Sciences
WOS研究方向Computer Science ; Operations Research & Management Science
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Information Systems ; Computer Science, Interdisciplinary Applications ; Operations Research & Management Science
WOS记录号WOS:000399844000009
出版者WORLD SCIENTIFIC PUBL CO PTE LTD
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/26008
专题系统科学研究所
通讯作者Hu, Yi
作者单位1.Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
3.Cent China Normal Univ, Network Ctr, Wuhan 430079, Peoples R China
4.Sichuan Univ, Business Sch, Chengdu 610064, Peoples R China
5.Univ Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China
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Xiao, Yi,Wang, Shouyang,Xiao, Ming,et al. The Analysis for the Cargo Volume with Hybrid Discrete Wavelet Modeling[J]. INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING,2017,16(3):851-863.
APA Xiao, Yi,Wang, Shouyang,Xiao, Ming,Xiao, Jin,&Hu, Yi.(2017).The Analysis for the Cargo Volume with Hybrid Discrete Wavelet Modeling.INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING,16(3),851-863.
MLA Xiao, Yi,et al."The Analysis for the Cargo Volume with Hybrid Discrete Wavelet Modeling".INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING 16.3(2017):851-863.
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