• Volume 30 Issue 5
    Aug.  2021
    Turn off MathJax
    Article Contents
    GUO Hongwei, GAO Xuedong, CHEN Lingkun, YANG Tianjun. Application of multidimensional time series fuzzy association rules for hot metal temperature forecasting in a blast furnace[J]. Chinese Journal of Engineering, 2008, 30(5): 553-557. doi: 10.13374/j.issn1001-053x.2008.05.026
    Citation: GUO Hongwei, GAO Xuedong, CHEN Lingkun, YANG Tianjun. Application of multidimensional time series fuzzy association rules for hot metal temperature forecasting in a blast furnace[J]. Chinese Journal of Engineering, 2008, 30(5): 553-557. doi: 10.13374/j.issn1001-053x.2008.05.026

    Application of multidimensional time series fuzzy association rules for hot metal temperature forecasting in a blast furnace

    doi: 10.13374/j.issn1001-053x.2008.05.026
    • Received Date: 2007-03-15
    • Rev Recd Date: 2007-05-27
    • Available Online: 2021-08-06
    • Confronted by the present state that the rules for hot metal temperature forecasting are made merely on the base of the experience of blast furnace (BF) experts, a new approach to the rules established through association rules mining from BF data was put forward. The algorithm of multidimensional time series rules mining was improved. The improved algorithm, which bases on the fuzziness of both subsequence and suhsequence interval, avoids the influence of "time border sharpness" on the result of mining. The algorithm was applied to No. 1 BF at Wuhan Iron and Steel Group Corporation, and its effects turned out to be satisfactory.

       

    • loading
    • 加載中

    Catalog

      通訊作者: 陳斌, bchen63@163.com
      • 1. 

        沈陽化工大學材料科學與工程學院 沈陽 110142

      1. 本站搜索
      2. 百度學術搜索
      3. 萬方數據庫搜索
      4. CNKI搜索
      Article views (160) PDF downloads(11) Cited by()
      Proportional views
      Related

      /

      DownLoad:  Full-Size Img  PowerPoint
      Return
      Return
      中文字幕在线观看