Derivative-based global sensitivity measure using radial basis function

Volume: 62, Issue: 1, Pages: 107 - 129
Published: Feb 24, 2020
Abstract
Global sensitivity analysis (GSA) is always used to measure the contribution of input variables on the variation of model output. In the fields of GSA, derivative-based global sensitivity measure (DGSM) has gained much attention because of its high efficiency in the identification of insignificant input variables. The commonly used approach to estimate DGSM is the Morris method, which requires a large number of model evaluations to compute the...
Paper Details
Title
Derivative-based global sensitivity measure using radial basis function
Published Date
Feb 24, 2020
Volume
62
Issue
1
Pages
107 - 129
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