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计算机工程 ›› 2007, Vol. 33 ›› Issue (19): 47-48,5. doi: 10.3969/j.issn.1000-3428.2007.19.016

• 博士论文 • 上一篇    下一篇

基于时间序列的模糊支持向量回归

张 永1,2,迟忠先2   

  1. (1. 辽宁师范大学计算机系,大连 116029;2. 大连理工大学计算机科学与工程系,大连 116024)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-10-05 发布日期:2007-10-05

Fuzzy Support Vector Regression Based on Time Series

ZHANG Yong1,2, CHI Zhong-xian2   

  1. (1. Department of Computer, Liaoning Normal University, Dalian 116029; 2. Department of Computer Science and Engineering, Dalian University of Technology, Dalian 116024)
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-10-05 Published:2007-10-05

摘要: 在分析了模糊支持向量回归的基础上,给出了一种基于时间序列分析的模糊支持向量回归方法TS-FSVR,并通过粒子群优化方法对模型中的参数进行了优化。并将该方法成功地应用到城市旅游环境承载力的评估系统中,取得了较好的实验结果。

关键词: 时间序列, 支持向量回归, 模糊成员, 粒子群优化

Abstract: This paper analyses fuzzy support vector regression, presents a new fuzzy support vector regression method based on time series analysis (TS-FSVR), and optimizes parameters of model by particle swarm optimization (PSO). This method is successfully used to the evaluation system of tour-environment carrying capacity. The experimental results show the method is feasible.

Key words: time series, support vector regression, fuzzy membership, particle swarm optimization

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