文章基本信息

标题：Evaluation of MARS modeling technique for sensitivity analysis of model output
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作者：Davood Shahsavani ; Davood Shahsavani ; Stefano Tarantola 等
期刊名称：Procedia - Social and Behavioral Sciences
印刷版ISSN：1877-0428
出版年度：2010
卷号：2
期号：6
页码：7737-7738
DOI：10.1016/j.sbspro.2010.05.204
语种：English
出版社：Elsevier
摘要：AbstractSensitivity analysis of computer models can typically require a large number of model runs. When these models are computationally expensive to run, it may be advantageous to invest in computationally cheaper surrogate models (emulators or meta-models) that can provide almost the same output as the original model and estimate the sensitivity indices for each input. In this abstract the MARS method is used to mimic the behavior of a nonlinear and non-additive test function. The results show that, overall, MARS provides acceptable estimates of total sensitivity indices at a much lower cost than using only runs of the original model.
关键词：Surrogate model;Total sensitivity indices;Multivariate adaptive regression Splines (MARS)