Bayesian optimization for solving high-frequency passive component design problems

In this paper, the performance of the Bayesian Optimization (BO) technique applied to various problems of microwave engineering is studied. Bayesian optimization is a novel, non-deterministic, global optimization scheme that uses machine learning to solve complex optimization problems. However, each...

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Veröffentlicht in:	Bulletin of the Polish Academy of Sciences. Technical sciences Jg. 70; H. 4; S. 141595
Hauptverfasser:	Baranowski, Michal, Fotyga, Grzegorz, Lamecki, Adam, Mrozowski, Michal
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Warsaw Polish Academy of Sciences 2022
Schlagworte:	Algorithms Antenna arrays Antenna design Antennas Bayesian analysis bayesian optimization Circuit design Design Designers Engineering Filter design (mathematics) Global optimization high-frequency design Machine learning Methods Microwave filters Optimization techniques Passive components Radiation Variables
ISSN:	2300-1917, 0239-7528, 2300-1917
Online-Zugang:	Volltext
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