✦ LIBER ✦

VARIABLE SELECTION IN NON-LINEAR SYSTEMS MODELLING

✍ Scribed by K.Z. Mao; S.A. Billings

Publisher: Elsevier Science
Year: 1999
Tongue: English
Weight: 231 KB
Volume: 13
Category: Article
ISSN: 0888-3270
DOI: 10.1006/mssp.1998.0180

No coin nor oath required. For personal study only.

✦ Synopsis

A new algorithm which preselects variables in non-linear system models is introduced by converting the problem into a variable selection procedure for a set of linearised models. Because on this result an algorithm which consists of a cluster analysis linearisation sub-region division procedure, a linear subset selection routine using an all possible regression algorithm and a genetic algorithm is developed. This algorithm can be applied to the modelling of non-linear systems using a wide class of model forms including the non-linear polynomial model, the non-linear rational model, artificial neural networks and others. Numerical simulations are included to demonstrate the efficiency of the new algorithm.

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