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Hybrid approaches based on LSSVR model for container throughput forecasting: A comparative study
2013-07-01 | 编辑:

论文题目:Hybrid approaches based on LSSVR model for container throughput forecasting: A comparative study

论文作者:Gang Xie (谢刚), Shou0yangWang (汪寿阳), Yingxue Zhao, Kin Keung Lai

论文摘要:In this study, three hybrid approaches based on least squares support vector regression (LSSVR) model for container throughput forecasting at ports are proposed. The proposed hybrid approaches are compared empirically with each other and with other benchmark methods in terms of measurement criteria on the forecasting performance. The results suggest that the proposed hybrid approaches can achieve better forecasting performance than individual approaches. It is implied that the description of the seasonal nature and nonlinear characteristics of container throughput series is important for good forecasting performance, which can be realized efficiently by decomposition and the “divide and conquer” principle.

所属实验室或研究中心:管理决策与信息系统重点实验室

全文链接:见附件
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Hybrid approaches based on LSSVR model for container throughput.pdf
 
 
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