System reliability prediction by support vector regression with analytic selection and genetic algorithm parameters selection

•A novel ASGA–SVR method has been proposed and applied for reliability prediction.•This method combines an analytic selection (AS) and GA search for SVR parameters.•The combination uses the prior knowledge by AS for guiding GA to avoid local optima.•ASGA is superior to GA in accuracy, convergence sp...

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Vydáno v:	Applied soft computing Ročník 30; s. 792 - 802
Hlavní autoři:	Zhao, Wei, Tao, Tao, Zio, Enrico
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.05.2015 Elsevier
Témata:	Analytic selection Artificial Intelligence Computer Science Genetic algorithms Parameter selection Reliability prediction Support vector regression Time series forecasting Time series forecasting Reliability prediction Support vector regression Parameter selection Analytic selection Genetic algorithms
ISSN:	1568-4946, 1872-9681
On-line přístup:	Získat plný text
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