应用数据挖掘的束流流强预测

Application of Data Mining in Beam Current Forecast

  • 摘要: 文章简要介绍数据挖掘技术。在详细分析束流流强曲线特点和束流流强曲线与历史曲线的相似性基础上,提出了1种基于数据挖掘中时间序列相似性研究的束流流强预测方法,并将其运用到合肥光源运行数据分析中。试验结果表明,该方法是有效的,能够满足运行要求。

     

    Abstract: Data mining technique is briefly introduced in the paper. The comparability of history beam current curves was analyzed first, then a method to forecast the beam current was put forward based on time sequence comparability study, and used in Hefei light source operational data analysis. The result indicates it’s useful.

     

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