基于超空间数据挖掘的智能材料处理

Proceedings of the Second International Conference on Intelligent Processing and Manufacturing of Materials. IPMM'99 (Cat. No.99EX296) Pub Date : 2000-10-01 DOI:10.1109/IPMM.1999.791567

Nian-yi Chen, D.D. Zhu, Wenhua Wang

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引用次数: 19

摘要

讨论了超空间数据挖掘在材料制造中的应用。我们引入了一种创新的超空间方法，将数据分离到子空间中，根据数据模式选择特征，并在原始特征空间中呈现控制。该技术有三个主要优点:不增加设备，不需要实验，不中断生产。MasterMiner/sup TM/软件产品中内置了许多专有算法，用于材料设计和制造。通过实例验证了该方法和MasterMiner工具的有效性。

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Intelligent materials processing by hyperspace data mining

This paper discusses application of hyperspace data mining to materials manufacturing. We introduce an innovative hyperspace method whereby data are separated into subspaces, features selected according to data patterns, and control rendered in the original feature space. This technique has three major advantages: no equipment is added, no experiment is needed, and no interruption occurs to production. A number of proprietary algorithms have been built into a software product, MasterMiner/sup TM/, for use in materials design and manufacturing. Examples are given to show the efficacy of the proposed method and MasterMiner tool.

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Proceedings of the Second International Conference on Intelligent Processing and Manufacturing of Materials. IPMM'99 (Cat. No.99EX296)

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