期刊论文、会议论文

Xiao Jin

英文

系统科学与复杂性(英文版)

1009-6124

2014

27

1

181-192

1st International Conference on Forecasting Economic and Financial Systems (FEFS) / 5th International Workshop on Singular Spectrum Analysis and its Applications (SSA)

MAY 17-20, 2012

Beijing, PEOPLES R CHINA

[Xiao Jin] Sichuan Univ, Sch Business, Chengdu 610064, Peoples R China.^[Xiao Yi] Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.^[Xiao Yi] Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China.^[Fu Julei] Natl Univ Def Technol, Changsha 410073, Hunan, Peoples R China.^[Lai Kin Keung] City Univ Hong Kong, Dept Management Sci, Hong Kong, Hong Kong, Peoples R China.

TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY

SPRINGER HEIDELBERG

10.1007/s11424-014-3296-1

This research is partly supported by the Natural Science Foundation of China under Grant Nos. 71101100 and 70731160635, New Teachers＇ Fund for Doctor Stations, Ministry of Education under Grant No. 20110181120047, Excellent Youth Fund of Sichuan University under Grant No. 2013SCU04A08, China Postdoctoral Science Foundation under Grant Nos. 2011M500418, 2012T50148, and 2013M530753, F~ontier and Cross-innovation Foundation of Sichuan University under Grant No. skqy201352, Soft Science Foundation of Sichuan Province under Grant No. 2013ZR0016, Humanities and Social Sciences Youth Foundation of the Ministry of Education of China under Grant No. 11YJC870028, Selfdetermined Research Funds of CCNU from the Colleges＇ Basic Research and Operation of MOE under Grant No. CCNU13F030.

本校为其他机构

Accurate forecast of future container throughput of a port is very important for its construction, upgrading, and operation management. This study proposes a transfer forecasting model guided by discrete particle swarm optimization algorithm (TF-DPSO). It firstly transfers some related time series in source domain to assist in modeling the target time series by transfer learning technique, and then constructs the forecasting model by a pattern matching method called analog complexing. Finally, the discrete particle swarm optimization algorithm is introduced to find the optimal match between th...