Review paper
A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design
Volume: 11, Issue: 68, Pages: 2051 - 2055
Published: Mar 1, 2010
Abstract
An exceedingly large number of scientific and engineering fields are confronted with the need for computer simulations to study complex, real world phenomena or solve challenging design problems. However, due to the computational cost of these high fidelity simulations, the use of neural networks, kernel methods, and other surrogate modeling techniques have become indispensable. Surrogate models are compact and cheap to evaluate, and have proven...
Paper Details
Title
A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design
Published Date
Mar 1, 2010
Volume
11
Issue
68
Pages
2051 - 2055
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