Name
Title | ||
|---|---|---|
A response-modeling alternative to surrogate models for support in computational analyses |
Abstract | ||
|---|---|---|
Often, the objectives in a computational analysis involve characterization of system performance based on some function of the computed response. In general, this characterization includes (at least) an estimate or prediction for some performance measure and an estimate of the associated uncertainty. Surrogate models can be used to approximate the response in regions where simulations were not performed. For most surrogate modeling approaches, however, (1) estimates are based on smoothing of available data and (2) uncertainty in the response is specified in a point-wise (in the input space) fashion. These aspects of the surrogate model construction might limit their capabilities. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1016/j.ress.2005.11.050 | Reliability Engineering & System Safety |
Keywords | DocType | Volume |
Computational simulation,Meta-model,Prediction,Response modeling,Response surface,Surrogate models | Journal | 91 |
Issue | ISSN | Citations |
10 | 0951-8320 | 3 |
PageRank | References | Authors |
0.86 | 1 | 1 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Brian Rutherford | 1 | 62 | 8.10 |