A neural-network-based variance decomposition sensitivity analysis
by Francesco Cadini, Enrico Zio, Francesco Di Maio, Vytis Kopustinskas, Rolandas Urbonas
International Journal of Nuclear Knowledge Management (IJNKM), Vol. 2, No. 3, 2007

Abstract: This paper describes the implementation of an artificial neural network for obtaining the numerous model output calculations within a variance decomposition scheme for performing the model sensitivity analysis with respect to both individual and grouped parameters. A case study concerning the identification of the input variables mostly contributing to model output uncertainty, with reference to an accident scenario in a nuclear power plant, provides evidence of the effectiveness of the approach.

Online publication date: Sun, 06-May-2007

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