RBF network optimization of complex microwave systems represented by small FDTD modeling data sets

@article{Murphy2006RBFNO,
  title={RBF network optimization of complex microwave systems represented by small FDTD modeling data sets},
  author={E. K. Murphy and V. V. Yakovlev},
  journal={IEEE Transactions on Microwave Theory and Techniques},
  year={2006},
  volume={54},
  pages={3069-3083}
}
This paper outlines an original algorithm of neural optimization backed by three-dimensional full-wave finite-difference time-domain (FDTD) simulation and suitable for viable computer-aided design of complex microwave (MW) systems. The frequency response of an S-parameter is optimized with a decomposed radial basis function (RBF) network capable of dealing with various MW devices. The key feature of the optimization is the dynamic generation of as much FDTD data as the network needs to find a… CONTINUE READING