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ZHOU Qiao-lin, FU Yan. A Method of Time Series Forecasting for Scientific Data[J]. Journal of University of Electronic Science and Technology of China, 2007, 36(6): 1260-1263.
Citation: ZHOU Qiao-lin, FU Yan. A Method of Time Series Forecasting for Scientific Data[J]. Journal of University of Electronic Science and Technology of China, 2007, 36(6): 1260-1263.
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A Method of Time Series Forecasting for Scientific Data

  • 1.

    School of Computer,Southwest University of Science Technology Mianyang Sichuan 621010;

  • 2.

    School of Computer Science and Engineering,University of Electronic Science and Technology of China Chengdu 610054

  • Received Date: 2006-07-06
  • Publish Date: 2007-12-15
  • Traditional methods have poor efficiency and effect to deal with the scientific data series forecasting. In this paper, a forecasting algorithm based on grey theory and self-organized map neural networks is proposed. Firstly, the scientific data time series cluster in self-organized mannar. Then the forecast model is established with grey theory. In clustering, a distance criterion is proposed to scale the difference between series. In grey theory, the whiten parameter is optimized. The experiments show that this algorithm surpasses those traditional forecasting methods in precision and time efficiency.
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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A Method of Time Series Forecasting for Scientific Data

  • 1. School of Computer,Southwest University of Science Technology Mianyang Sichuan 621010;
  • 2. School of Computer Science and Engineering,University of Electronic Science and Technology of China Chengdu 610054
  • Received Date: 2006-07-06
  • Publish Date: 2007-12-15

Abstract: Traditional methods have poor efficiency and effect to deal with the scientific data series forecasting. In this paper, a forecasting algorithm based on grey theory and self-organized map neural networks is proposed. Firstly, the scientific data time series cluster in self-organized mannar. Then the forecast model is established with grey theory. In clustering, a distance criterion is proposed to scale the difference between series. In grey theory, the whiten parameter is optimized. The experiments show that this algorithm surpasses those traditional forecasting methods in precision and time efficiency.

ZHOU Qiao-lin, FU Yan. A Method of Time Series Forecasting for Scientific Data[J]. Journal of University of Electronic Science and Technology of China, 2007, 36(6): 1260-1263.
Citation: ZHOU Qiao-lin, FU Yan. A Method of Time Series Forecasting for Scientific Data[J]. Journal of University of Electronic Science and Technology of China, 2007, 36(6): 1260-1263.
shu

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