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数据挖掘在热轧平整机轧制力计算偏差补偿模型中的应用
引用本文:张泰,朱蕾. 数据挖掘在热轧平整机轧制力计算偏差补偿模型中的应用[J]. 新乡学院学报(自然科学版), 2013, 0(6): 439-440,451
作者姓名:张泰  朱蕾
作者单位:[1]河北工业大学理学院,天津300401 [2]河北邯郸钢铁集团 西区热轧厂,河北邯郸056015 [3]河北邯郸钢铁集团冷轧厂,河北邯郸056015
摘    要:分析了数据库技术及数据挖掘常用算法,以热轧平整机轧制力计算偏差补偿为例,建立了数据挖掘的热轧平整机轧制力补偿模型.经实际检验,模型在生产应用中完全满足生产实际要求,对现有的基于二级数学模型计算的薄规格板带后期工艺再处理生产的进一步优化具有深远的意义.

关 键 词:数据挖掘  补偿模型  轧制力

Application of Data Mining in Rolling Force Deviation Compensation Model of Hot Rolling Skin Mill
ZHANG Tai,ZHU Lei. Application of Data Mining in Rolling Force Deviation Compensation Model of Hot Rolling Skin Mill[J]. , 2013, 0(6): 439-440,451
Authors:ZHANG Tai  ZHU Lei
Affiliation:1. School of Science, Hebei University of Technology, Tianjin 300401, China; 2. a. Western Hot Rolling Mill Plant; b. Cold Rolling Mill Plant, Hebei Handan Iron and Steel Company, Handan 056015, China)
Abstract:The database technology and the common algorithms of data mining are analyzed. In the case of the rolling force deviation compensation of the hot rolling skin mill, the rolling force compensation model of data mining of the hot rolling skin mill is built. Practical test shows that the model can satisfy the actual production requirements in the actual production and has far-reaching significance on the further optimization in the later treatment reprocessing of the existing thin strip based on the secondary mathematical model.
Keywords:data mining  compensation model  rolling force
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