Variance decomposition-based sensitivity analysis via neural networks


This paper illustrates a method for efficiently performing multiparametric sensitivity analyses of the reliability model of a given system. These analyses are of great importance for the identification of critical components in highly hazardous plants, such as the nuclear or chemical ones, thus providing significant insights for their risk-based design and… (More)
DOI: 10.1016/S0951-8320(02)00234-X


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