Inderscience Publishers

A neural-network-based variance decomposition sensitivity analysis


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.

Keywords: neural networks, nuclear safety, RBMK-1500 accident scenario, sensitivity analysis, variance decomposition, nuclear energy, nuclear power plants

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