A TRANSFER FORECASTING MODEL FOR CONTAINER THROUGHPUT GUIDED BY DISCRETE PSO

CSpace

	A TRANSFER FORECASTING MODEL FOR CONTAINER THROUGHPUT GUIDED BY DISCRETE PSO
其他题名	A TRANSFER FORECASTING MODEL FOR CONTAINER THROUGHPUT GUIDED BY DISCRETE PSO
	Xiao Jin 1; Xiao Yi 2; Fu Julei 4; Lai Kin Keung 5
	2014
发表期刊	JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY
ISSN	1009-6124
卷号	27 期号:1 页码:181-192
摘要	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 the two important parameters in TF-DPSO. The container throughput time series of two important ports in China, Shanghai Port and Ningbo Port are used for empirical analysis, and the results show the effectiveness of the proposed model.
其他摘要	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 the two important parameters in TF-DPSO. The container throughput time series of two important ports in China, Shanghai Port and Ningbo Port are used for empirical analysis, and the results show the effectiveness of the proposed model.
关键词	HONG-KONG CARGO THROUGHPUT PORT TIME Analog complexing container throughput forecasting discrete particle swarm optimization transfer forecasting model
收录类别	CSCD
语种	英语
CSCD记录号	CSCD:5112265
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/53018
专题	中国科学院数学与系统科学研究院
作者单位	1.四川大学 2.Cent China Normal University, Sch Informat Management, Wuhan 430079, Peoples R China 3.中国科学院数学与系统科学研究院 4.Natl University Def Technol, Changsha 410073, Hunan, Peoples R China 5.伦敦城市大学
推荐引用方式 GB/T 7714	Xiao Jin,Xiao Yi,Fu Julei,et al. A TRANSFER FORECASTING MODEL FOR CONTAINER THROUGHPUT GUIDED BY DISCRETE PSO[J]. JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY,2014,27(1):181-192.
APA	Xiao Jin,Xiao Yi,Fu Julei,&Lai Kin Keung.(2014).A TRANSFER FORECASTING MODEL FOR CONTAINER THROUGHPUT GUIDED BY DISCRETE PSO.JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY,27(1),181-192.
MLA	Xiao Jin,et al."A TRANSFER FORECASTING MODEL FOR CONTAINER THROUGHPUT GUIDED BY DISCRETE PSO".JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY 27.1(2014):181-192.