Faculty Advisor

Vadim Y akovlev

Faculty Advisor

Homer Walker

Abstract

An original approach in microwave optimization, namely, a neural network procedure combined with the full-wave 3D electromagnetic simulator QuickWave-3D implemented a conformal FDTD method, is presented. The radial-basis-function network is trained by simulated frequency characteristics of S-parameters and geometric data of the corresponding system. High accuracy and computational efficiency of the procedure is illustrated for a waveguide bend, waveguide T-junction with a post, and a slotted waveguide as a radiating element.

Publisher

Worcester Polytechnic Institute

Degree Name

MS

Department

Mathematical Sciences

Project Type

Thesis

Date Accepted

2003-01-13

Accessibility

Unrestricted

Subjects

optimization technique, Microwave systems, neural networks, QuickWave 3D, Microwave devices, Mathematical optimization, Neural networks, Industrial applications

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