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Recent advances in space-mapping-based modeling of microwave devices. (English) Zbl 1204.78009

Summary: 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.

MSC:

78A40 Waves and radiation in optics and electromagnetic theory
68T05 Learning and adaptive systems in artificial intelligence
62J02 General nonlinear regression
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