## Abstract An accurate and fast neural model for complex microwave circuits is efficiently obtained by using segmentation and exploiting the knowledge of frequency response obtained from reduced order models. Information arriving from the excited modes in the connection ports of the regions to be
Modeling of microwave devices with artificial neural networks using segmentation and finite elements
✍ Scribed by Juan M. Cid; Jesús García; Juan Zapata
- Publisher
- John Wiley and Sons
- Year
- 2001
- Tongue
- English
- Weight
- 157 KB
- Volume
- 32
- Category
- Article
- ISSN
- 0895-2477
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✦ Synopsis
Abstract
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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