A NEW ALGORITHM FOR OPTIMAL, DISTANCE-BASED EXPERIMENTAL-DESIGN

被引：86

作者：

MARENGO, E ^{[1
]}

TODESCHINI, R ^{[1
]}

机构：

[1] DIPARTIMENTO CHIM FIS & ELETTROCHIM,VIA GOLGI 19,I-20133 MILAN,ITALY

来源：

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS | 1992年 / 16卷 / 01期

关键词：

Distance-based - Exchange algorithms - Minimums distance - Optimality criteria - Regression modelling - Uniform distribution;

D O I：

10.1016/0169-7439(92)80076-G

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A new algorithm for optimal, distance based, experimental design is presented. The proposed approach, in contrast to other optimality criteria, does not require any preliminary hypothesis about a regression model. The best set of experiments is defined through a fast exchange algorithm where, in each cycle, a substitution is selected to provide the maximum increase of the minimum distance between the currently selected experiments. Such an algorithm provides a final uniform distribution of the experiments selected from the set of allowed candidates.

引用

页码：37 / 44

页数：8

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