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基于变权GM(1,1)组合模型的喀什GDP预测 被引量:4

Forecast on GDP of Kashi Region Based on Weight Changeable Combination Forecast Model
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摘要 利用离散GM(1,1)模型,新息GM(1,1)模型以及复合函数预测模型建立了一类变权重组合预测模型.并将该组合预测模型应用于喀什地区GDP预测,建立了喀什地区GDP的变权重GM(1,1)组合预测模型.计算结果表明变权GM(1,1)组合预测模型在时间序列数据的预测中具有一定的优势. In view of the limitations in the single forecasting model, the new weight change- able combination forecast method was put forward according to the discrete GM(1,1) model and new information GM (1, 1) model and compound functions forecast model. And then, this weight changeable combination forecast method was applied to GDP prediction of Kashi region. The forecast results indicates that the precision of weight changeable combination forecast method is higher than single forecast models. So this new method is feasible and effective.
作者 王丰效
出处 《数学的实践与认识》 CSCD 北大核心 2013年第24期147-151,共5页 Mathematics in Practice and Theory
基金 国家社会科学基金(11XTJ001)
关键词 喀什地区 变权组合预测 GM(1 1)模型 GDP Kashi region weight changeable combination forecast discrete GM (1, 1) model GDP
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  • 1谢乃明,刘思峰.离散GM(1,1)模型与灰色预测模型建模机理[J].系统工程理论与实践,2005,25(1):93-99. 被引量:352
  • 2Arizon J D, Verlindeno, Dehombreux P. Prediction of wheel wear in urban railway transport comparison of exist- ing models [ J ]. Vehicle System Dynamics, 2007, 45 (9) : 849 -874.
  • 3MAGEL E, KALOUSEK J, CALDWELL R. A numerical simulation of wheel wear[J]. Wear, 2005, 258: 1245- 1254.
  • 4Roger Enblom, Mats Berg. Impact of non - elliptic con- tact modeling in wheel wears simulation [ J ]. Wear, 2008, 265 : 1532 - 1541.
  • 5Roger Enblom, Mats Berg. Simulation of railway wheel profile development due to wear - influence of disc bra- king and contact environment I J ]. Wear, 2005, 258 : 1055 - 1063.
  • 6Dirks B, Enblom R. Prediction model for wheel profile wear and rolling contact fatigue[J]. Wear, 2011, 271 : 210 -217.
  • 7中华人民共和国国家统计局. 分省年度数据[DB/OL].http://data.stats.gov.cn/easyquery.htm.cn=E0103.2015-07-10.
  • 8海南省统计局,国家统计局海南稽查总队.海南统计年鉴2014[DB/OL].[2015-07-10].http://www.stats.hainan.gov.cn/2014nj/indexch.htm.
  • 9龚国勇.ARIMA模型在深圳GDP预测中的应用[J].数学的实践与认识,2008,38(4):53-57. 被引量:97
  • 10徐建新,严勇,严富海.指数平滑法在典型城市GDP预测中的应用[J].水利科技与经济,2008,14(7):551-554. 被引量:25

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