基于合成灰数灰度的区间灰数自忆性预测模型

被引:13
作者
郭晓君 [1 ,2 ]
刘思峰 [1 ]
方志耕 [1 ]
机构
[1] 南京航空航天大学经济与管理学院
[2] 南通大学理学院
关键词
区间灰数; 预测模型; 合成灰数灰度; 自忆性原理; 饱和发展状态;
D O I
暂无
中图分类号
N941.5 [灰色系统理论];
学科分类号
摘要
针对传统灰色预测模型解决灰数序列预测的局限性,为了提高预测精度,以考虑合成灰数灰度的区间灰数预测模型为基础,构建了基于合成灰数灰度的区间灰数自忆性耦合预测模型,结合动力系统自忆性原理克服了传统灰色预测模型对初值比较敏感的弱点。算例仿真以具饱和发展状态特征的区间灰数序列为对象,获得了满意的模拟预测精度,验证了所构建模型的有效性及优越性。研究结果表明,本文提出的新模型丰富和完善了区间灰数预测模型体系,并拓展了其应用范围。
引用
收藏
页码:1124 / 1129
页数:6
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共 15 条
  • [1] 考虑合成灰数灰度性质的改进区间灰数预测模型
    王大鹏
    汪秉文
    李睿凡
    [J]. 系统工程与电子技术, 2013, 35 (05) : 1013 - 1017
  • [2] Dynamic prediction of building subsidence deformation with data-based mechanistic self-memory model[J]. WANG Wei 1,2,SU JingYu 1*,HOU BenWei 2,TIAN Jie 2 & MA DongHui 1 1 Institute of Earthquake Resistance and Disaster Reduction,Beijing University of Technology,Beijing 100124,China;2 College of Civil Engineering,Beijing University of Technology,Beijing 100124,China.Chinese Science Bulletin. 2012(26)
  • [3] 基于核和灰度的区间灰数预测模型
    曾波
    [J]. 系统工程与电子技术, 2011, 33 (04) : 821 - 824
  • [4] Prediction model of interval grey number based on DGM(1,1)[J]. Bo Zeng1,2,*,Sifeng Liu2,and Naiming Xie2 1.College of Business Planning,Chongqing Technology and Business University,Chongqing 400067,P.R.China;2.College of Economics and Management,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,P.R.China.Journal of Systems Engineering and Electronics. 2010(04)
  • [5] A Favré averaged transition prediction model for hypersonic flows
    LEE ChunHian
    [J]. ScienceChina(TechnologicalSciences), 2010, 53 (08) : 2049 - 2056
  • [6] 基于核和灰度的区间灰数运算法则
    刘思峰
    方志耕
    谢乃明
    [J]. 系统工程与电子技术, 2010, 32 (02) : 313 - 316
  • [7] Differential Hydrological Grey Model (DHGM) with self-memory function and its application to flood forecasting[J]. CHEN XiangDong1, XIA Jun1,2 & XU Qian3 1 Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;2 State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China;3 School of Hydrology and Water Resources, Hoh
  • [8] umerical tests of efficiency of the retrospective time integration scheme in the self-memory model
    GU Xiangqian 1*
    2. Training Center of China Meteorological Administration
    [J]. Progress in Natural Science, 2004, (09) : 89 - 92
  • [9] 灰色自记忆模型及应用
    范习辉
    张焰
    [J]. 系统工程理论与实践, 2003, (08) : 114 - 117+129
  • [10] Self-memorization Equation in Atmospheric Motion[J]. 曹鸿兴.Science in China,Ser.A. 1993(07)