| 基于灰色理论与BP神经网络的工序质量预测研究 |
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| 引用本文： | 王秋明,刘科成,高慧颖.基于灰色理论与BP神经网络的工序质量预测研究[J].北京理工大学学报,2011,31(2):249-252. |
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| 作者姓名： | 王秋明 刘科成 高慧颖 |
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| 作者单位： | 王秋明,WANG Qiu-ming(北京理工大学,管理与经济学院,北京,100081;中国科学院,微电子研究所,北京,100029);刘科成,LIU Ke-cheng(北京理工大学,管理与经济学院,北京,10008;Informaties Research Centre,University of Reading,Reading,Berkshire,UK);高慧颖,GAO Hui-ying(北京理工大学,管理与经济学院,北京,100081) |
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| 摘 要： | 工序质量预测在质量控制中起着重要的作用,灰色理论GM(1,1)新陈代谢模型及BP人工神经网络技术在预测领域较为广泛地得到应用,尽管具有常规预测方面无法比拟的优势,但均有各自的局限性,因此提出了基于灰色理论与BP神经网络相结合的工序质量预测方法.在充分利用两者在预测领域的优势基础上建立了综合质量预测模型,实例计算表明该预测方法是可行的.
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| 关 键 词： | 灰色系统 神经网络 工序质量 残差 质量预测 |
| 收稿时间： | 2010/1/19 0:00:00 |
Research of Procedure Quality Forecast Based on the Grey Theory and BP Neural Networks |
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| WANG Qiu-ming,LIU Ke-cheng and GAO Hui-ying.Research of Procedure Quality Forecast Based on the Grey Theory and BP Neural Networks[J].Journal of Beijing Institute of Technology(Natural Science Edition),2011,31(2):249-252. |
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| Authors: | WANG Qiu-ming LIU Ke-cheng and GAO Hui-ying |
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| Affiliation: | WANG Qiu-ming1,2,LIU Ke-cheng1,3,GAO Hui-ying1(1.School of Management and Economics,Beijing Institute of Technology,Beijing 100081,China,2.Institute of Microelectronics,Chinese Academy of Sciences,Beijing 100029,3.Informatics Research Centre,University of Reading,Reading,Berkshire,UK) |
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| Abstract: | Forecasting of procedure quality plays an important role in quality control.The GM(1,1) model in grey theory and BP artificial neural networks have been applied in the field of forecasting widely.Although each of above two methods has advantages over traditional forecasting methods,they have their disadvantages respectively.The method of forecasting procedure quality based on the combination of grey theory and BP artificial neural networks is proposed in this article.After analyzing and utilizing the superi... |
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| Keywords: | grey theory neural networks procedure quality residual quality forecasting |
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