Detail publikace

Broadband Modelling of Wire Antennas by Genetic Neural Networks

Originální název

Broadband Modelling of Wire Antennas by Genetic Neural Networks

Anglický název

Broadband Modelling of Wire Antennas by Genetic Neural Networks

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

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"
}