Premium
Modeling of microwave devices with artificial neural networks using segmentation and finite elements
Author(s) -
Cid Juan M.,
García Jesús,
Zapata Juan
Publication year - 2001
Publication title -
microwave and optical technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.304
H-Index - 76
eISSN - 1098-2760
pISSN - 0895-2477
DOI - 10.1002/mop.10137
Subject(s) - microwave , artificial neural network , cad , coaxial , segmentation , electronic engineering , engineering , finite element method , computer science , artificial intelligence , electrical engineering , engineering drawing , structural engineering , telecommunications
The CAD of microwave devices involves extensively computing their electromagnetic response. Using segmentation and finite elements, a neural model for an arbitrary device is developed efficiently, even if the number of design parameters is high. This is made clear with an example of a transition between coaxial and rectangular waveguides. © 2002 John Wiley & Sons, Inc. Microwave Opt Technol Lett 32: 221–224, 2002.