Model term selection for spatio-temporal system identification using mutual information

被引：13

作者：

Wang, Shu ^{[1
]}

Wei, Hua-Liang ^{[1
]}

Coca, Daniel ^{[1
]}

Billings, Stephen A. ^{[1
]}

机构：

[1] Univ Sheffield, Dept Automat Control & Syst Engn, Sheffield S1 3JD, S Yorkshire, England

来源：

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE | 2013年 / 44卷 / 02期

基金：

欧洲研究理事会; 英国工程与自然科学研究理事会;

关键词：

spatio-temporal system identification; orthogonal forward regression; mutual information; model length determination; NONLINEAR MODELS;

D O I：

10.1080/00207721.2011.600468

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 mutual information based algorithm is introduced for term selection in spatio-temporal models. A generalised cross validation procedure is also introduced for model length determination and examples based on cellular automata, coupled map lattice and partial differential equations are described.

引用

页码：223 / 231

页数：9

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