Materials discovery via topologically-correct display of reduced-dimension data

被引:4
|
作者
Pao, YH [1 ]
Meng, Z
LeClair, S
Igelnik, B
机构
[1] Case Western Reserve Univ, Cleveland, OH 44106 USA
[2] AI WARE Inc, Cleveland, OH 44106 USA
[3] USAF, Res Lab, Mat & Mfg Directorate, WPAFB, OH USA
关键词
dimension reduction; materials design; materials property prediction; neural networks;
D O I
10.1016/S0925-8388(98)00608-2
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Authors describe and demonstrate a 'ratio-conserving' mapping procedure for attaining reduced-dimension representations of multidimensional data. This procedure has a theoretical basis for topological correctness in that the ratio of the metrics in the two representations is maintained constant throughout. It is also demonstrated that comparing the reduced-dimension depiction of data with the results of clustering and spanning tree operations in the full-dimension space can validate such reduced-dimension mappings. Demonstrations are carried out using a body of semiconductor data, with five independent variables and one dependent variable. (C) 1998 Published by Elsevier Science S.A. All rights reserved.
引用
收藏
页码:22 / 29
页数:8
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