期刊文献+

基于时间序列的支持向量机在物流预测中的应用 被引量:19

Application of Support Vector Machines Based on Time Sequence in Logistics Forecasting
下载PDF
导出
摘要 由于物流预测是不确定的、非线性的、动态开放性的复杂大系统,传统方法往往难以准确地描述这种复杂的非线性特征,因而无法准确进行物流预测。本文提出了基于一种基于时间序列的支持向量机(SVM)的物流预测方法。将该方法用于实际物流系统的公路运输量预测中,和真实值比较说明所提出的物流预测方法是可行和有效的。 Because logistics system forecasting was a uncertain, nonlinear, dynamic and complicated system, it was difficult to describe such a nonlinear characteristics of this system by traditional methods, so the logistics forecasting could not be accurately forecasted. The authors presented a novel load forecasting method which is an improved support vector machines (SVM) algorithm based on time sequence applying the presented method to actual traffic forecasting of highway in logistics system, the comparison among the forecasted results and the true shows that the presented method is feasible and effective.
出处 《物流科技》 2005年第1期8-11,共4页 Logistics Sci-Tech
关键词 物流系统 预测方法 动态开放性 公路运输量 不确定 准确 复杂大系统 基于时间 支持向量机(SVM) 序列 logistics system logistics forecasting time sequence support vector machines (SVM)
  • 相关文献

参考文献9

二级参考文献21

  • 1彭珍瑞,郭佑民,董海棠,蒋兆远.自动化立体仓库管理监控系统研制与实现[J].兰州铁道学院学报,2001,20(4):8-11. 被引量:11
  • 2Donald J.Bowersox 林国龙(译).物理管理[M].北京:机械工业出版社,1999.185.
  • 3胡双增 张明.物流系统工程[M].北京:清华大学出版社,2000.58-62.
  • 4袁曾任.人工神经元网络及其应用[M].北京:清华大学出版社,1990.66-77.
  • 5赵辉 李进生 郭秀林.地下水位动态的人工神经网络研究[A]..农业节水与地下水开发利用[C].,2000..
  • 6Müller K-R, Smola A J, Ra tseh G, et ai. Predicting time series with support vector machines [Z]. In: Prec. of ICANN' 97, Springer Lecture Notes in Computer Science, 1997, 999- 1005.
  • 7Steve Gunn. Support Vector Machines for Classification and Regression [R]. ISIS Technical Report, 1998, 5.
  • 8M O Stitson, J A E Weston, A Gammennan, V Vovk, V Vapnik. Theory of Support Vector Machines [R]. Technical Report CSD-TR-96-17. Computational Intelligence Group, Royal Holloway, University of London, 1996.
  • 9Drucker H, Burges C, Kaufman L, et al. Suppmtvector regression machines [ A ]. In: mozer M, Jonian M,Petsche T (eds). Neural Information Processing Systems [M]. MIT Press, 1997, 9.
  • 10Sch lkopf B, Smola A. A Tutorial on Support Vecdor Regression [ R ]. Neuro COL T2 Technical Report Series NC2-TR-1998-030, 1998, 10.

共引文献171

同被引文献128

引证文献19

二级引证文献102

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部