Result Details

Broadband Modelling of Wire Antennas by Genetic Neural Networks

ŠMÍD, P., RAIDA, Z. Broadband Modelling of Wire Antennas by Genetic Neural Networks. In RADIOELEKTRONIKA 2004 - Conference Proceedings. Slovak University of Technology in Bratislava, 2004. 4 p. ISBN: 80-227-2017-8.
Type
conference paper
Language
English
Authors
Šmíd Petr, Ing., Ph.D.
Raida Zbyněk, prof. Dr. Ing., UREL (FEEC)
Abstract

The paper describes an approach to learning artificial neural networks (ANN) with the genetic algorithm (GA). Two types of ANN are used: the recurrent Elman ANN and the feed-forward one. Neural networks are implemented in MATLAB. Results of training abilities are discussed.

Keywords

Artificial Neural Network, Wire Antenna, Genetic Algorithm

Published
2004
Pages
4
Proceedings
RADIOELEKTRONIKA 2004 - Conference Proceedings
Conference
RADIOELEKTRONIKA 2004
ISBN
80-227-2017-8
Publisher
Slovak University of Technology in Bratislava
BibTeX 
@inproceedings{BUT11389,
  author="Petr {Šmíd} and Zbyněk {Raida}",
  title="Broadband Modelling of Wire Antennas by Genetic Neural Networks",
  booktitle="RADIOELEKTRONIKA 2004 - Conference Proceedings",
  year="2004",
  pages="4",
  publisher="Slovak University of Technology in Bratislava",
  isbn="80-227-2017-8"
}
Departments
Department of Radio Electronics (UREL)
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