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Type-2模糊系统在黄金价格预测中的应用 被引量：2

The Application of Type-2 Fuzzy System to Forecast the Price of Gold
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摘要 选择了一个模糊时间序列的模型来确定模糊系统初始参数,同时运用了Type-2模糊系统和Type-1模糊系统进行了训练及预测,比较了他们的训练逼近效果,以及预测效果,给出了仿真. One model of fuzzy time sequence was chosen to confirm the initial parameters. Type- 2 fuzzy systems and Type - 1 fuzzy systems were used to train and forecast. The effects of training and forecasting approaches were compared.
作者 钱冰冰
机构地区 江苏大学理学院
出处 《佳木斯大学学报（自然科学版）》 CAS 2007年第3期397-399,共3页 Journal of Jiamusi University：Natural Science Edition
基金 国家自然科学基金重点资助项目(60234010)
关键词 模糊时间序列 Type-2模糊系统 模糊系统训练 预测 fuzzy time sequence Type- 2 fuzzy system training forecasting
分类号 O175.14 [理学—基础数学]
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参考文献5

  • 1George E.P.Box,Gwilym M.Jenkins,Gregory C.Reinsel.时间序列分析(第三版)[M].[顾岚译].北京:中国统计出版社,1997.
  • 2Sangbae Kim,Francis In.The relationship between stock returns and inflation:new evidence from wavelet analysis[J].Journal of Empirical Finance 2005,(12):435-444.
  • 3G.Armano,M.Marchesi,A.Murru.A hybrid genetic-neural architecture for stock indexes forecasting[J].Information Sciences 2005,(170):3-33.
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同被引文献70

  • 1郑佳,林斌.人民币汇率变动对国际黄金价格的影响[J].黄金,2007,28(7):4-7. 被引量：9
  • 2张文彤.SPSS11统计分析教程[M].北京希望电子出版社,2002.
  • 3George E P, Gwilym M J. Time series analysis: Forecasting and control[M]. Holden Day,1976.
  • 4Zadeh L A. Fuzzy set[J]. Information and Control,1965,8:338-353.
  • 5Song Q, Chissom B S. Forecasting enrollments with fuzzy time series. Part I[J]. Fuzzy Sets System, 1993,54 (1):1 -9.
  • 6Song Q, Chissom B S. Forecasting enrollments with fuzzy time series. Part II[J]. Fuzzy Sets System,1994,62(1): 1-8.
  • 7Wang C C. A comparison study between fuzzy time series model and ARIMA model for forecasting Taiwan export [J]. Expert Systems with Applications, 2011,38 : 9296 - 9304.
  • 8Chen S M. Forecasting enrollments based on fuzzy time series[J]. Fuzzy Sets and Systems, 1996,81 : 311 - 319.
  • 9Lee M H, Efendi R, Ismail Z. Modified weighted for enrollment forecasting based on fuzzy time series [J]. MATEMATIKA, 2009,25 (1) : 67 - 78.
  • 10Huarng K H. Ratio-based lengths of intervals to improve fuzzy time series forecasting[J]. IEEE Transactions on Systems, Man, and Cybernetics-Part B : Cybernetics, 2006,36 (2), 328 - 340.

引证文献2

二级引证文献10

佳木斯大学学报（自然科学版）
2007年 第3期

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