On Variable Selection of a Nonlinear Non-parametric System with a Limited Data Set: A Stepwise Algorithm


Autoria(s): Bai, Er-Wei; Li, Kang; Zhao, Wenxiao
Data(s)

29/08/2014

Resumo

his paper considers a problem of identification for a high dimensional nonlinear non-parametric system when only a limited data set is available. The algorithms are proposed for this purpose which exploit the relationship between the input variables and the output and further the inter-dependence of input variables so that the importance of the input variables can be established. A key to these algorithms is the non-parametric two stage input selection algorithm.

Identificador

http://pure.qub.ac.uk/portal/en/publications/on-variable-selection-of-a-nonlinear-nonparametric-system-with-a-limited-data-set-a-stepwise-algorithm(6b6bb816-6017-4496-88b7-341357acbbcf).html

http://dx.doi.org/10.3182/20140824-6-ZA-1003.00122

Idioma(s)

eng

Publicador

International Federation of Automatic Control

Direitos

info:eu-repo/semantics/restrictedAccess

Fonte

Bai , E-W , Li , K & Zhao , W 2014 , On Variable Selection of a Nonlinear Non-parametric System with a Limited Data Set: A Stepwise Algorithm . in Proceedings of the 19th IFAC World Congress, 2014 . vol. 19 , World Congress , no. Part 1 , vol. 19 , International Federation of Automatic Control , pp. 4979-4984 , 19th World Congress of the International Federation of Automatic Control (IFAC 2014) , Cape Town , South Africa , 24-29 August . DOI: 10.3182/20140824-6-ZA-1003.00122

Tipo

contributionToPeriodical