Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4967187 | Journal of Computational Physics | 2017 | 20 Pages |
Abstract
Global sensitivity analysis (GSA) is a very useful tool to evaluate the influence of input variables in the whole distribution range. Sobol' method is the most commonly used among variance-based methods, which are efficient and popular GSA techniques. High dimensional model representation (HDMR) is a popular way to compute Sobol' indices, however, its drawbacks cannot be ignored. We show that modified GMDH-NN algorithm can calculate coefficients of metamodel efficiently, so this paper aims at combining it with HDMR and proposes GMDH-HDMR method. The new method shows higher precision and faster convergent rate. Several numerical and engineering examples are used to confirm its advantages.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Shufang Song, Lu Wang,