Publication detail

Broadband Modelling of Wire Antennas by Genetic Neural Networks

ŠMÍD, P., RAIDA, Z.

Original Title

Broadband Modelling of Wire Antennas by Genetic Neural Networks

English Title

Broadband Modelling of Wire Antennas by Genetic Neural Networks

Type

conference paper

Language

en

Original 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.

English 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

RIV year

2004

Released

27.04.2004

Publisher

Slovak University of Technology in Bratislava

ISBN

80-227-2017-8

Book

RADIOELEKTRONIKA 2004 - Conference Proceedings

Pages from

484

Pages to

487

Pages count

4

BibTex


@inproceedings{BUT11389,
  author="Petr {Šmíd} and Zbyněk {Raida}",
  title="Broadband Modelling of Wire Antennas by Genetic Neural Networks",
  annote="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.",
  address="Slovak University of Technology in Bratislava",
  booktitle="RADIOELEKTRONIKA 2004 - Conference Proceedings",
  chapter="11389",
  institution="Slovak University of Technology in Bratislava",
  year="2004",
  month="april",
  pages="484",
  publisher="Slovak University of Technology in Bratislava",
  type="conference paper"
}