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P. Šmíd, Z. Raida, J. Láčík, Z. Lukeš
Originální název
High-Speed High-Accuracy Neural Networks for Automated Modeling of Electromagnetic Structures
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
Developing the original design method based on genetic models of designed electromagnetic structures is the motivation of this work. The paper deals with original genetic neural networks for modeling EM structures. A novel approach to learning artificial neural networks (ANN) by genetic algorithms (GA) and Levenberg–Marquardt (LM) method is described. Trai–ned ANN are used for the optimization of a H-shaped waveguide and a shielded microstrip transmission line.
Klíčová slova
waveguide, shielded transmission line, artificial neural network, genetic algorithm, Levenberg-Marquardt method, optimization
Autoři
Rok RIV
2005
Vydáno
12. 9. 2005
Nakladatel
Politecnico di Torino
Místo
Torino, Italy
ISBN
88-8202-094-0
Kniha
Proceedings of joint 9-th International Conference on Electomagnetics in Advanced Applications ICEAA '05 and 11-th European Electromagnetic Structures Conference
Číslo edice
1
Strany od
213
Strany do
216
Strany počet
4
BibTex
@inproceedings{BUT15382, author="Petr {Šmíd} and Zbyněk {Raida} and Jaroslav {Láčík} and Zbyněk {Lukeš}", title="High-Speed High-Accuracy Neural Networks for Automated Modeling of Electromagnetic Structures", booktitle="Proceedings of joint 9-th International Conference on Electomagnetics in Advanced Applications ICEAA '05 and 11-th European Electromagnetic Structures Conference", year="2005", number="1", pages="4", publisher="Politecnico di Torino", address="Torino, Italy", isbn="88-8202-094-0" }