کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6961955 | 1452243 | 2018 | 26 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Tree-based ensemble methods for sensitivity analysis of environmental models: A performance comparison with Sobol and Morris techniques
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزار
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Tree-based ensemble methods for sensitivity analysis of environmental models: A performance comparison with Sobol and Morris techniques Tree-based ensemble methods for sensitivity analysis of environmental models: A performance comparison with Sobol and Morris techniques](/preview/png/6961955.png)
چکیده انگلیسی
Complex environmental models typically require global sensitivity analysis (GSA) to account for non-linearities and parametric interactions. However, variance-based GSA is highly computationally expensive. While different screening methods can estimate GSA results, these techniques typically impose restrictions on sampling methods and input types. As an alternative, this work evaluates two decision tree-based methods to approximate GSA results: random forests, and Extra-Trees. These techniques are applicable with common sampling methods, and continuous or categorical inputs. The tree-based methods are compared to reference Sobol GSA and Morris screening techniques, for three cases: an Ishigami-Homma function, a H1N1 pandemic model, and the CDICE integrated assessment model. The Extra-Trees algorithm performs favorably compared to Morris elementary effects, accurately approximating the relative importance of Sobol total effect indices. Furthermore, Extra-Trees can estimate variable interaction importances using a pairwise permutation measure. As such, this approach could offer a user-friendly option for screening in models with inputs of mixed types.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Environmental Modelling & Software - Volume 107, September 2018, Pages 245-266
Journal: Environmental Modelling & Software - Volume 107, September 2018, Pages 245-266
نویسندگان
Marc Jaxa-Rozen, Jan Kwakkel,