Application of Optimal Weighted Combination Model in Forecasting GDP of Linyi City

被引:0
|
作者
Li Wenjun [1 ]
机构
[1] Linyi Normal Univ, Sch Business, Linyi 276005, Peoples R China
关键词
optimal weighted combination method; GDP; Linyi;
D O I
暂无
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In order to discuss the optimum weighted combination forecasting model in regional GDP forecasting, based on the date of GDP from 1995 to 2008 in Linyi City, Shandong Province. The quadratic curve model, the exponential curve model and the optimal weighted combination model were used to simulate and forecast GDP of Linyi city. It was calculated that the F test values were 930.14, 896.87, 1394.10 respectively. The results indicated that the optimum weighted combination model was more precise than one single forecasting method, whose mean relative error is less than 3.2% in recent 10 years. The model is used in forecast analysis of the growth tendency of GDP, providing scientific basis for economic development in Linyi city.
引用
收藏
页码:232 / 235
页数:4
相关论文
共 50 条
  • [21] Neural network application of GDP forecasting in China
    Zhao, SJ
    Zhong, YJ
    Fourth Wuhan International Conference on E-Business: The Internet Era & The Global Enterprise, Vols 1 and 2, 2005, : 921 - 925
  • [22] Optimal sub-models selection algorithm for combination forecasting model
    Che, JinXing
    NEUROCOMPUTING, 2015, 151 : 364 - 375
  • [23] The application of system dynamics model of city water demand forecasting
    Yang, Shengna
    Guo, Hua
    Li, Yan
    Liu, Junliang
    Energy Engineering and Environment Engineering, 2014, 535 : 440 - 445
  • [24] Optimal weighted combinatorial forecasting model of QT dispersion of ECGs in Chinese adults
    Zhang Wen
    Ge Miao
    Liu Xinlei
    Cen Minyi
    International Journal of Biometeorology, 2016, 60 : 1089 - 1098
  • [25] Optimal weighted combinatorial forecasting model of QT dispersion of ECGs in Chinese adults
    Zhang Wen
    Ge Miao
    Liu Xinlei
    Cen Minyi
    INTERNATIONAL JOURNAL OF BIOMETEOROLOGY, 2016, 60 (07) : 1089 - 1098
  • [26] The Optimal Weighted Combinational Forecasting with Constant Terms
    ZHANG Jian-guo (College of Mathematics and Information Science
    数学季刊, 2007, (01) : 109 - 113
  • [27] Improved coyote algorithm and application to optimal load forecasting model
    Wu, Songmei
    Jiang, Jiandong
    Yan, Yuehao
    Bao, Wei
    Shi, Yangtao
    ALEXANDRIA ENGINEERING JOURNAL, 2022, 61 (10) : 7811 - 7822
  • [28] Properties of Weighted Geometric Means Combination Forecasting Model Based on Absolute of Grey Incidence
    Sun, Lihong
    MECHATRONICS AND INTELLIGENT MATERIALS II, PTS 1-6, 2012, 490-495 : 442 - 446
  • [29] Variable weighted combination forecasting model based on genetic algorithm and artificial neural network
    Li, Junfeng
    Dai, Wenzhan
    Pan, Haipeng
    Li, Junfeng
    ICNC 2007: THIRD INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 1, PROCEEDINGS, 2007, : 451 - +
  • [30] FORECASTING ROMANIAN GDP USING A BVAR MODEL
    Caraiani, Petre
    ROMANIAN JOURNAL OF ECONOMIC FORECASTING, 2010, 13 (04): : 76 - 87