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Petr Šmíd, Zbyněk Raida, Jiří Horák
Originální název
Enhanced neural modeling of planar antennas and filters
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
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.
Klíčová slova
Artificial neural networks, planar microwave structures, pso.
Autoři
Rok RIV
2006
Vydáno
4. 10. 2006
Nakladatel
Antenna Centre of Excellence
Místo
Nice (Francie)
ISBN
9-2909-2937-5
Kniha
Proceedings of the European Conference on Antennas and Propagation EuCAP 2006
Strany od
448
Strany do
451
Strany počet
4
BibTex
@inproceedings{BUT24886, author="Zbyněk {Raida} and Petr {Šmíd} and Jiří {Horák}", title="Enhanced neural modeling of planar antennas and filters", booktitle="Proceedings of the European Conference on Antennas and Propagation EuCAP 2006", year="2006", pages="4", publisher="Antenna Centre of Excellence", address="Nice (Francie)", isbn="9-2909-2937-5" }