Intelligent materials processing by hyperspace data mining

被引：15

作者：

Chen, NY ^{[1
]}

Zhu, DPD

Wang, WH

机构：

[1] Zaptron Syst Inc, Santa Clara, CA USA

[2] Salomon Smith Barney, New York, NY 10013 USA

来源：

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE | 2000年 / 13卷 / 05期

关键词：

data mining; materials design; features; optimization;

D O I：

10.1016/S0952-1976(00)00032-4

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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(TM), for use in materials design and manufacturing. Examples are given to show the efficacy of the proposed method and MasterMiner tool. (C) 2000 Published by Elsevier Science Ltd.

引用

页码：527 / 532

页数：6