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基于多模型的不等长序列数据关联算法

孙贵东 关欣 衣晓 赵骏

孙贵东, 关欣, 衣晓, 等 . 基于多模型的不等长序列数据关联算法[J]. 北京航空航天大学学报, 2017, 43(8): 1640-1646. doi: 10.13700/j.bh.1001-5965.2016.0658
引用本文: 孙贵东, 关欣, 衣晓, 等 . 基于多模型的不等长序列数据关联算法[J]. 北京航空航天大学学报, 2017, 43(8): 1640-1646. doi: 10.13700/j.bh.1001-5965.2016.0658
SUN Guidong, GUAN Xin, YI Xiao, et al. Data association algorithm for unequal length sequence based on multiple model[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(8): 1640-1646. doi: 10.13700/j.bh.1001-5965.2016.0658(in Chinese)
Citation: SUN Guidong, GUAN Xin, YI Xiao, et al. Data association algorithm for unequal length sequence based on multiple model[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(8): 1640-1646. doi: 10.13700/j.bh.1001-5965.2016.0658(in Chinese)

基于多模型的不等长序列数据关联算法

doi: 10.13700/j.bh.1001-5965.2016.0658
基金项目: 

国家自然科学基金 61032001

新世纪优秀人才支持计划 NCET-11-0872

详细信息
    作者简介:

    孙贵东   男, 博士研究生。主要研究方向:智能数据挖掘、多属性决策

    关欣   女, 博士, 教授, 博士生导师。主要研究方向:多源信息融合、智能信息处理

    衣晓   男, 博士, 教授, 博士生导师。主要研究方向:无线传感器网络、多源信息融合

    通讯作者:

    关欣, E-mail:gxtongwin@163.com

  • 中图分类号: TN95

Data association algorithm for unequal length sequence based on multiple model

Funds: 

National Natural Science Foundation of China 61032001

Program for New Century Excellent Talents in University NCET-11-0872

More Information
  • 摘要:

    单模型在处理不等长序列数据关联时不能兼顾计算精度、复杂度和抗扰性,为此提出了基于多模型(MM)的不等长序列数据关联算法。将基于滑动窗口和动态时间弯曲(DTW)的不等长序列相似度度量模型作为MM的输入模型,以2种模型计算得到的时似变化比作为模型判断指标进行模型转换,实现了2种模型的优势互补,并得到模型的应用条件,最后输出MM作用后的不等长序列相似度,以此作为关联指标进行关联判定。仿真实验验证了MM关联算法在处理不等长序列数据关联的有效性,并对序列长度和突变率变化对关联效果的影响进行了分析。

     

  • 图 1  突变点示意图

    Figure 1.  Schematic diagram of fluctuant point

    图 2  模型转换流程图

    Figure 2.  Model transformation flowchart

    图 3  2种模型计算时间对比

    Figure 3.  Comparison of calculation time between two models

    图 4  模型相似度随序列长度变化

    Figure 4.  Variation of model similarity with sequence length

    图 5  模型相似度随突变率变化

    Figure 5.  Variation of model similarity with fluctuant rate

    图 6  时似变化比随序列长度的变化

    Figure 6.  Variation of rate of change between time and similarity with sequence length

    图 7  不同突变点条件下的模型转换临界点变换

    Figure 7.  Change of model transformation critical point under different fluctuant points

    表  1  不等长序列组的相似度

    Table  1.   Similarity of unequal length sequence group

    序列相似度
    Q1Q2Q3Q4
    S10.212 50.696 60.105 60.010 2
    S20.126 40.075 90.730 60.078 7
    下载: 导出CSV
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出版历程
  • 收稿日期:  2016-08-10
  • 录用日期:  2016-10-28
  • 网络出版日期:  2017-08-20

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