... of surrogate models, namely, a pointwise-optimal ensemble of surrogate models (POEMs). To address the limitations of the cross-validation (CV) error in evaluating the performance of regression surrogate models, this paper introduces the compensated cross-validation error, which is more reliable in selecting...

... the screening index to realize the definition and elimination of a global poor model to further update the model library. Compared with the cross-validation error, this index presents better reliability in the model library update. The baseline model is determined by the minimum screening index to further...

... surrogate cross-validation Ministry of Science and Technology of the People's Republic of China 10.13039/501100002855 2018YFB1702502 National Natural Science Foundation of China 10.13039/501100001809 52075068 Despite tremendous advances in processing power, analyzing...

...Jie Zhang; Souma Chowdhury; Ali Mehmani; Achille Messac Both global and local error measure metrics were used to assess the accuracy of surrogate models. In this paper, the leave-one-out cross-validation errors at all training points were used as local error measures. When compared with errors...

... method Latin hypercube sampling cross-validation moving least squares Several analytical and simulation-based methods have been developed for the past three decades for limit-state-based reliability analysis, and have been implemented with high fidelity system models as well as approximate...