PRESS WEIGHTED AVERAGE SURROGATE: TRIAL TESTS IN 2D
Abstract eng: Surrogate modeling (Meta-modeling) is an often used tool for analysis of behavior of complex systems which are usually described by computationally demanding models. Surrogate models provide an approximation of the original model's response in a fraction of time and therefore are suitable when multiple evaluations are needed. Many types of meta-models exist and each suits another type of problem. On the other hand it is not always possible to select the right meta-model in advance. Therefore parallel construction of several meta-models and their subsequent comparison and combining can be utilized with advantage. A typical method called PRESS weighted average surrogate which uses the prediction sum of squares obtained by cross-validation for computation of the weights for linear combination of individual surrogates is discussed in this contribution and illustrated on several 2-dimensional benchmark examples using a group of different meta-models.
Contributors:
Publisher:
Institute of Thermomechanics AS CR, v.v.i., Praha
Conference Title:
Conference Title:
Engineering Mechanics 2016
Conference Venue:
Svratka, CZ
Conference Dates:
2016-05-09 / 2016-05-12
Rights:
Text je chráněný podle autorského zákona č. 121/2000 Sb.
Record appears in:
Record created 2016-08-16, last modified 2016-08-16
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