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Recent advances in space‐mapping‐based modeling of microwave devices
Author(s) -
Koziel Slawomir,
Bandler John W.
Publication year - 2010
Publication title -
international journal of numerical modelling: electronic networks, devices and fields
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.249
H-Index - 30
eISSN - 1099-1204
pISSN - 0894-3370
DOI - 10.1002/jnm.743
Subject(s) - space mapping , space (punctuation) , computer science , term (time) , fuzzy logic , microwave , function (biology) , data mining , algorithm , artificial intelligence , physics , telecommunications , quantum mechanics , evolutionary biology , biology , operating system
We review the latest developments in space‐mapping‐based modeling techniques with applications in microwave engineering. We discuss the two techniques that utilize a combination of standard space mapping and function approximation methodologies, in particular fuzzy systems and support vector regression (SVR). In both cases, the initial space‐mapping model is enhanced by an additional term that approximates the differences between the fine model and the initial space‐mapping surrogate. We compare the standard and enhanced space‐mapping models, as well as the fuzzy systems and SVR directly used for modeling fine model data. A discussion of the advantages and disadvantages of the presented methods is also given. Copyright © 2010 John Wiley & Sons, Ltd.