Document Type thesis Author Name Murphy, Ethan Kane Email Address ekane31 at hotmail.com URN etd-0113103-121206 Title Radial-Basis-Function Neural Network Optimization of Microwave Systems Degree MS Department Mathematical Sciences Advisors Vadim Y akovlev, Advisor Homer Walker, Department Head Keywords optimization technique Microwave systems neural networks QuickWave 3D Date of Presentation/Defense 2002-12-13 Availability unrestricted
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.
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