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.
Worcester Polytechnic Institute
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Murphy, Ethan Kane, "Radial-Basis-Function Neural Network Optimization of Microwave Systems" (2003). Masters Theses (All Theses, All Years). 77.
optimization technique, Microwave systems, neural networks, QuickWave 3D, Microwave devices, Mathematical optimization, Neural networks, Industrial applications