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P. Šmíd, Z. Raida, J. Láčík, Z. Lukeš
Original Title
High-Speed High-Accuracy Neural Networks for Automated Modeling of Electromagnetic Structures
Type
conference paper
Language
English
Original Abstract
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.
Keywords
waveguide, shielded transmission line, artificial neural network, genetic algorithm, Levenberg-Marquardt method, optimization
Authors
RIV year
2005
Released
12. 9. 2005
Publisher
Politecnico di Torino
Location
Torino, Italy
ISBN
88-8202-094-0
Book
Proceedings of joint 9-th International Conference on Electomagnetics in Advanced Applications ICEAA '05 and 11-th European Electromagnetic Structures Conference
Edition number
1
Pages from
213
Pages to
216
Pages count
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" }