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Radial-Basis-Function Neural Network Optimization of Microwave Systems

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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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  • English
Identifier
  • etd-0113103-121206
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Year
  • 2003
Date created
  • 2003-01-13
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Permanent link to this page: https://digital.wpi.edu/show/nv9352973