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