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改进的含时间幂次项灰色模型及建模机理
引用本文:吴紫恒,吴仲城,李芳,冯东.改进的含时间幂次项灰色模型及建模机理[J].控制与决策,2019,34(3):637-641.
作者姓名:吴紫恒  吴仲城  李芳  冯东
作者单位:中国科学院合肥物质科学研究院强磁场科学中心,合肥230000;中国科学技术大学研究生院科学岛分院,合肥230000;中国科学院合肥物质科学研究院强磁场科学中心,合肥,230000
基金项目:国家自然科学基金项目(61273323).
摘    要:为提高灰色预测模型的预测精度,针对传统含时间幂次项灰色预测模型的局限性,根据实际应用的需要,提出一种改进的含时间幂次项灰色模型NGM(1,1,t^{\gamma

关 键 词:灰色预测模型  时间幂次项  NGM(1  1  tγ)  建模机理  积分变换  初始点

Improved grey forecasting model with time power and its modeling mechanism
WU Zi-heng,WU Zhong-cheng,LI Fang and FENG Dong.Improved grey forecasting model with time power and its modeling mechanism[J].Control and Decision,2019,34(3):637-641.
Authors:WU Zi-heng  WU Zhong-cheng  LI Fang and FENG Dong
Affiliation:High Magnetic Field Laboratory,Hefei Institutes of Phsical Science,Chinese Academy of Sciences,Hefei230000,China;Science Island Branch of Graduate School,University of Science and Technology of China,Hefei230000,China,High Magnetic Field Laboratory,Hefei Institutes of Phsical Science,Chinese Academy of Sciences,Hefei230000,China,High Magnetic Field Laboratory,Hefei Institutes of Phsical Science,Chinese Academy of Sciences,Hefei230000,China and High Magnetic Field Laboratory,Hefei Institutes of Phsical Science,Chinese Academy of Sciences,Hefei230000,China;Science Island Branch of Graduate School,University of Science and Technology of China,Hefei230000,China
Abstract:To improve the forecasting accuracy of grey forecasting model, in view of limitation of the traditional grey forecasting model with time power, this paper proposed an improved grey forecasting model NGM(1,1,t^{\gamma
Keywords:
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