摘要
针对中厚板生产产品规格变化大、轧制条件复杂等特点,提出一种基于案例推理的 负荷分配模型,并应用数据库中的知识发现技术进行案例修正,使模型更符合实际轧制情况.
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.
出处
《北京科技大学学报》
EI
CAS
CSCD
北大核心
2005年第1期98-101,共4页
Journal of University of Science and Technology Beijing
关键词
负荷分配模型
基于案例的推理
数据库中的知识发现
Adaptive systems
Knowledge based systems
Loads (forces)
Mathematical models
Steel sheet
