GAUSSIAN PROCESS MODELING OF CPW-FED SLOT ANTENNAS

@article{Villiers2009GAUSSIANPM,
  title={GAUSSIAN PROCESS MODELING OF CPW-FED SLOT ANTENNAS},
  author={J. D. Villiers and J. P. Jacobs},
  journal={Progress in Electromagnetics Research-pier},
  year={2009},
  volume={98},
  pages={233-249}
}
  • J. D. Villiers, J. P. Jacobs
  • Published 2009
  • Mathematics
  • Progress in Electromagnetics Research-pier
    • Gaussian process (GP) regression is proposed as a structured supervised learning alternative to neural networks for the modeling of CPW-fed slot antenna input characteristics. A Gaussian process is a stochastic process and entails the generalization of the Gaussian probability distribution to functions. Standard GP regression is applied to modeling S11 against frequency of a CPW-fed second- resonant slot dipole, while an approximate method for large datasets is applied to an ultrawideband (UWB… CONTINUE READING
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