| 基于数据挖掘技术的铸造产品质量预测研究 |
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| 引用本文： | 郭四海,袁勇. 基于数据挖掘技术的铸造产品质量预测研究[J]. 武汉理工大学学报(信息与管理工程版), 2005, 27(4): 109-112 |
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| 作者姓名： | 郭四海 袁勇 |
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| 作者单位： | 武汉理工大学,自动化学院,湖北,武汉,430070 |
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| 摘 要： | 针对铸造厂的实际生产情况,应用数据挖掘中的决策树方法,通过对大量历史数据的分析,形成了一定的质量预测规则,并以此为基础,利用神经网络的方法,建立了生产过程质量预测模型,实现铸造产品生产质量预测系统。
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| 关 键 词： | 神经网络 数据挖掘 实时质量预测 决策树 |
| 文章编号： | 1007-144X(2005)04-0109-04 |
| 修稿时间： | 2005-04-03 |
Quality Prediction of Casting Product Based on Data Mining Technique |
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| Guo Sihai,Yuan Yong. Quality Prediction of Casting Product Based on Data Mining Technique[J]. Journal of Wuhan University of Technology(Information & Management Engineering), 2005, 27(4): 109-112 |
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| Authors: | Guo Sihai Yuan Yong |
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| Affiliation: | Guo Sihai,Yuan Yong Guo Sihai: Lect., School of Automation,WUT,Wuhan 430070,China. |
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| Abstract: | According to the actualities in casting enterprises, the decision tree method in data mining is applied to form a set of quality prediction rules on the basis of a large number of historical data. Based on this, the neutral network method is used to establish a quality prediction model of production process and a quality prediction system of casting products. |
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| Keywords: | neutral network data mining real-time quality prediction decision tree |
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