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Space-mapped neuro-fuzzy optimization for microwave device modeling

✍ Scribed by J. Hinojosa; G. Doménech-Asensi

Publisher
John Wiley and Sons
Year
2007
Tongue
English
Weight
277 KB
Volume
49
Category
Article
ISSN
0895-2477

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✦ Synopsis

Abstract

Four modeling methods of microwave devices using multiple neuro‐fuzzy inference systems (MANFIS) based on space‐mapping (SM) approach are presented. In contrast with previous works using conventional mathematical tools and artificial neural networks, the proposed SM‐based neuro‐fuzzy modeling methods can construct nonlinear multidimensional mapping functions based on both human knowledge in the form of fuzzy if–then rules easy to understand by human beings and stipulated input–output data pairs, without employing precise quantitative analyzes. Optimization by microgenetic algorithm is used to find nonlinear multidimensional mapping functions for the modeling methods that present a singular system. These methods are applied to a shielded microstrip line and the obtained models are discussed. These space‐mapped neuro‐fuzzy models could be integrated in a toolbox of any commercially available computer‐aided design tools for radio frequency/microwave circuits. © 2007 Wiley Periodicals, Inc. Microwave Opt Technol Lett 49: 1328–1334, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.22460

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