%0 Journal Article %1 cheng2018adaptive %A Cheng, Kai %A Lu, Zhenzhou %D 2018 %I Elsevier %J Computers & structures %K %P 86-96 %R 10.1016/j.compstruc.2017.09.002 %T Adaptive sparse polynomial chaos expansions for global sensitivity analysis based on support vector regression %V 194

@article{cheng2018adaptive, added-at = {2023-09-01T10:39:04.000+0200}, author = {Cheng, Kai and Lu, Zhenzhou}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/209d53d0afda8d5f26c4fb4602d795f67/unibiblio-4}, doi = {10.1016/j.compstruc.2017.09.002}, interhash = {1c406c8d5f48a43172aee16a50b99b7b}, intrahash = {09d53d0afda8d5f26c4fb4602d795f67}, issn = {0045-7949}, journal = {Computers & structures}, keywords = {}, language = {eng}, pages = {86-96}, publisher = {Elsevier}, timestamp = {2023-09-01T08:39:04.000+0200}, title = {Adaptive sparse polynomial chaos expansions for global sensitivity analysis based on support vector regression}, volume = 194, year = 2018 }