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Electromagnetic‐artificial neural network model for synthesis of physical dimensions for multilayer asymmetric coupled transmission structures (invited article)
Author(s) -
Watson P. M.,
Cho Choonsik,
Gupta K. C.
Publication year - 1999
Publication title -
international journal of rf and microwave computer‐aided engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.335
H-Index - 39
eISSN - 1099-047X
pISSN - 1096-4290
DOI - 10.1002/(sici)1099-047x(199905)9:3<175::aid-mmce4>3.0.co;2-p
Subject(s) - balun , microstrip , artificial neural network , microwave , electronic engineering , transmission line , computer science , electric power transmission , electronic circuit , filter (signal processing) , topology (electrical circuits) , engineering , electrical engineering , telecommunications , artificial intelligence , antenna (radio)
A methodology for synthesis (leading to physical dimensions) of multilayer asymmetric coupled microstrip lines using artificial neural network models is presented. Models are appropriate for design and optimization of multilayer configurations for circuits like filters, baluns, and directional couplers. Proposed methodology is demonstrated by designing a two‐layer coupled line filter. ©1999 John Wiley & Sons, Inc. Int J RF and Microwave CAE 9: 175–186, 1999.