Modeling of microwave devices with artificial neural networks using segmentation and finite elements | Zendy

Cid Juan M. | Zendy; García Jesús | Zendy; Zapata Juan | Zendy

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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.

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