Detail publikace

Enhanced neural modeling of planar antennas and filters

Originální název

Enhanced neural modeling of planar antennas and filters

Anglický název

Enhanced neural modeling of planar antennas and filters

Jazyk

en

Originální abstrakt

The paper deals with an enhanced neural modeling algorithm based on incorporation of both, global optimization method and local one. Proposed algorithm depresses disadvantages of classical neural modeling. A neural model of the low-pass filter is trained to behave as a numerical one, which is analyzed in Zeland IE3D. Both, the neural model and the numerical one are optimized using particle swarm optimization method (PSO). Finally, the results of optimization are compared.

Anglický abstrakt

The paper deals with an enhanced neural modeling algorithm based on incorporation of both, global optimization method and local one. Proposed algorithm depresses disadvantages of classical neural modeling. A neural model of the low-pass filter is trained to behave as a numerical one, which is analyzed in Zeland IE3D. Both, the neural model and the numerical one are optimized using particle swarm optimization method (PSO). Finally, the results of optimization are compared.

Dokumenty

BibTex


@inproceedings{BUT24886,
  author="Zbyněk {Raida} and Petr {Šmíd} and Jiří {Horák}",
  title="Enhanced neural modeling of planar antennas and filters",
  annote="The paper deals with an enhanced neural modeling algorithm based on incorporation of both, global optimization method and local one. Proposed algorithm depresses disadvantages of classical neural modeling. A neural model of the low-pass filter is trained to behave as a numerical one, which is analyzed in Zeland IE3D. Both, the neural model and the numerical one are optimized using particle swarm optimization method (PSO). Finally, the results of optimization are compared.
",
  address="Antenna Centre of Excellence",
  booktitle="Proceedings of the European Conference on Antennas and Propagation EuCAP 2006",
  chapter="24886",
  institution="Antenna Centre of Excellence",
  year="2006",
  month="october",
  pages="448",
  publisher="Antenna Centre of Excellence",
  type="conference paper"
}