MULTIVARIATE RULE BUILDING EXPERT SYSTEM

被引：38

作者：

HARRINGTON, PD ^{[1
]}

VOORHEES, KJ ^{[1
]}

机构：

[1] COLORADO SCH MINES,DEPT CHEM & GEOCHEM,GOLDEN,CO 80401

来源：

ANALYTICAL CHEMISTRY | 1990年 / 62卷 / 07期

关键词：

D O I：

10.1021/ac00206a016

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

A multivariate rule building expert system (MuRES) has been devised that acquires knowledge In the form of rules from training sets of multivariate analytical data. MuRES differs from conventional expert systems In that It generates rules that consist of a linear combination of all variables. MuRES advantageously combines the robust character of univariate expert systems and the feature transformation properties of linear classifiers. MuRES develops its own certainty factors and provides qualitative information regarding the classification. When evaluated with exemplary data, MuRES performed better than linear discriminant analysis, soft Independent modeling of class analogy, and a univariate expert system. © 1990, American Chemical Society. All rights reserved.

引用

页码：729 / 734

页数：6

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