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Neural models for coplanar waveguides with a finite dielectric thickness
Author(s) -
Yildiz Celal,
Sagiroglu Seref,
Saraçoğlu Oytun
Publication year - 2003
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/mmce.10104
Subject(s) - artificial neural network , coplanar waveguide , microwave , dielectric , materials science , computer science , electronic engineering , engineering , optoelectronics , artificial intelligence , telecommunications
This article presents a new approach based on artificial neural networks (ANNs) to determine the characteristic parameters of symmetric and asymmetric coplanar waveguides with a finite dielectric thickness. ANNs are trained with the use of five training algorithms. The results obtained from neural models are in very good agreement with the theoritical and experimental results available in the literature. © 2003 Wiley Periodicals, Inc. Int J RF and Microwave CAE 13: 438–446, 2003.