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| 基于数据挖掘的热轧带钢产品抽样检验优化研究 | |
| 引用本文： | 嵇振平,于戈. 基于数据挖掘的热轧带钢产品抽样检验优化研究[J]. 冶金自动化, 2004, 28(1): 10-13 |
| 作者姓名： | 嵇振平 于戈 |
| 作者单位： | 1. 东北大学,信息科学与工程学院,辽宁,沈阳,110004；宝钢技术中心 2. 东北大学,信息科学与工程学院,辽宁,沈阳,110004 |
| 摘 要： | 分析了现有抽样制度下样本代表性低和代表范围窄的主要原因。以“三同”抽样检验制度为分析对象 ,提出了基于数据挖掘技术的热轧带钢抽样检验优化框架。 |
| 关 键 词： | 热轧带钢 抽样制度优化 数据挖掘 数模应用 |
| 文章编号： | 1000-7059(2004)01-0010-04 |
| 修稿时间： | 2003-07-21 |
Data mining based optimization of sampling testing for hot rolling stripe |
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| JI Zhen-ping. Data mining based optimization of sampling testing for hot rolling stripe[J]. Metallurgical Industry Automation, 2004, 28(1): 10-13 | |
| Authors: | JI Zhen-ping |
| Affiliation: | JI Zhen-ping~ |
| Abstract: | The reasons of the low representative level and short representative range of the sample under the present sampling testing system for hot rolling stripe are discussed. As a case study, the Santong sampling testing system is analyzed, and a data mining based optimization architecture of sampling testing for hot rolling stripe is presented. |
| Keywords: | hot rolling stripe sampling system optimization data mining data model application |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |