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CBR及KDD技術在中厚板軋制負荷分配建模中的應用

Application of CBR and KDD techniques to modeling plate rolling schedules

  • 摘要: 針對中厚板生產產品規格變化大、軋制條件復雜等特點,提出一種基于案例推理的負荷分配模型,并應用數據庫中的知識發現技術進行案例修正,使模型更符合實際軋制情況.

     

    Abstract: In order to develop an adaptive model for automatically generating rolling schedules that comply with practical operations in heavy plate rolling, the techniques of Case-Based Reasoning (CBR) and Knowledge Discovery in Database (KDD) are introduced in the modeling process. In the model CBR not only is used for storing and retrieving the cases, i.e. schedules by which high-quality products have been rolled, but also generates an initial schedule for the material to be rolled according to the similarity in attributes between the material and the stored cases. KDD is introduced to find the rules from the operational data records to modify the initial schedule if there is difference between the ongoing rolling practice and the case applied. The experimental results of comparing the schedules against the practical rolling data show that the schedule generated by the new model is more reasonable and conformable to the actual rolling practice than that generated by traditional methods, which indicates that the method proposed in this paper is a promising method for rolling schedule generation modeling.

     

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