Results 271 to 280 of about 17,987,828 (337)
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Empirical ModelāBuilding and Response Surfaces
, 1988E. Shoesmith, G. Box, N. Draper
semanticscholar +2 more sources
2020
In this chapter, we discuss several state-of-the-art RSM methods for performance modeling of analog and AMS circuits. RSM aims to approximate a given PoI by the linear combination of a set of basis functions. If the number of training samples is much larger than the number of adopted basis functions, the model coefficients can be accurately estimated ...
openaire +1 more source
In this chapter, we discuss several state-of-the-art RSM methods for performance modeling of analog and AMS circuits. RSM aims to approximate a given PoI by the linear combination of a set of basis functions. If the number of training samples is much larger than the number of adopted basis functions, the model coefficients can be accurately estimated ...
openaire +1 more source
A Taxonomy of Global Optimization Methods Based on Response Surfaces
Journal of Global Optimization, 2001Donald R. Jones
semanticscholar +1 more source
Generalized probabilistic response surfaces for the buckling strength assessment of stiffened panels
Thin-Walled Structures, 2023Konstantinos N Anyfantis
exaly
2017
Adopting an integrated approach, this book covers experiments, theory, and emerging applications. In the first part surfaces are described that change from flat to either a random corrugated or to a well-structured structure, while the second part deals with those surface structures integrated in the coating surface where the structures change their ...
openaire +1 more source
Adopting an integrated approach, this book covers experiments, theory, and emerging applications. In the first part surfaces are described that change from flat to either a random corrugated or to a well-structured structure, while the second part deals with those surface structures integrated in the coating surface where the structures change their ...
openaire +1 more source
Modeling satellite drag coefficients with response surfaces
, 2014P. Mehta +5 more
semanticscholar +1 more source
Deep learning for ranking response surfaces with applications to optimal stopping problems
Quantitative Finance, 2020Ruimeng Hu
exaly

