Year: 2012
Type: book-chapter
Abstract: Surrogate modeling is referred to as a technique that makes use of the sampled data (observed by running the computer code) to build surrogate models, which are sufficient to predict the output of an expensive computer code at untried points in the design space.Thus, how to choose sample points, how to build surrogate models, and how to evaluate the accuracy of surrogate models are key issues for surrogate modeling. Design of experimentsTo build a surrogate model, DoE methods are usually used to determine the locations of sample points in the design space.DoE is a procedure with the general goal of maximizing www.intechopen.com How to referenceIn order to correctly reference this scholarly work, feel free to copy and paste the following:
Source: InTech eBooks
DOI: 10.5772/36125
Authors: Zhong-Hua Han, Ke-Shi Zhang
Institution: Northwestern Polytechnical University
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W1569313486