Comparison of bootstrapped artificial neural networks and quadratic response surfaces for the estimation of the functional failure probability of a thermal–hydraulic passive system

N. Pedroni, E. Zio and G.E. Apostolakis

Reliability Engineering and System Safety, 2010, vol. 95, issue 4, 386-395

Abstract: In this work, bootstrapped artificial neural network (ANN) and quadratic response surface (RS) empirical regression models are used as fast-running surrogates of a thermal–hydraulic (T–H) system code to reduce the computational burden associated with estimation of functional failure probability of a T–H passive system.

Keywords: Functional failure probability; Percentile; Natural circulation; Regression model; Bootstrap; Confidence interval; Computational time (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:95:y:2010:i:4:p:386-395

DOI: 10.1016/j.ress.2009.11.009

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