Bayesian approach to design optimization of electromagnetic systems under uncertainty
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F16%3A43930423" target="_blank" >RIV/49777513:23220/16:43930423 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/document/7816315/" target="_blank" >http://ieeexplore.ieee.org/document/7816315/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CEFC.2016.7816315" target="_blank" >10.1109/CEFC.2016.7816315</a>
Alternative languages
Result language
angličtina
Original language name
Bayesian approach to design optimization of electromagnetic systems under uncertainty
Original language description
Bayesian optimization approach to electromagnetic design under uncertainty is addressed. Latin hypercube sampling is used as experimental design criterion for initial set of samples. This set of training samples is used in order to build a suitable surrogate model and also to estimate observed noise variance strongly affecting simulation and optimization results, especially in the case of stochastic objective functions.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/LO1607" target="_blank" >LO1607: RICE - New technologies and concepts for smart industrial system</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů