Publication result detail

Neural Networks in Antennas and Microwaves: A Practical Approach

RAIDA, Z.

Original Title

Neural Networks in Antennas and Microwaves: A Practical Approach

English Title

Neural Networks in Antennas and Microwaves: A Practical Approach

Type

Peer-reviewed article not indexed in WoS or Scopus

Original Abstract

Neural networks are electronic systems which can be trained to remember behavior of a modeled structure in given operational points, and which can be used to approximate behavior of the structure out of the training points. These approximation abilities of neural nets are demonstrated on modeling a frequency-selective surface, a microstrip transmission line and a microstrip dipole. Attention is turned to the accuracy and to the efficiency of neural models. The association of neural models and genetic algorithms, which can provide a global design tool, is discussed.

English abstract

Neural networks are electronic systems which can be trained to remember behavior of a modeled structure in given operational points, and which can be used to approximate behavior of the structure out of the training points. These approximation abilities of neural nets are demonstrated on modeling a frequency-selective surface, a microstrip transmission line and a microstrip dipole. Attention is turned to the accuracy and to the efficiency of neural models. The association of neural models and genetic algorithms, which can provide a global design tool, is discussed.

Key words in English

artificial neural networks, genetic algorithms, frequency-selective surfaces, planar transmission lines, microstrip antennas

Authors

RAIDA, Z.

Released

01.12.2001

ISBN

1210-2512

Periodical

Radioengineering

Volume

10

Number

4

State

Czech Republic

Pages from

24

Pages count

12

BibTex

@article{BUT39632,
  author="Zbyněk {Raida}",
  title="Neural Networks in Antennas and Microwaves: A Practical Approach",
  journal="Radioengineering",
  year="2001",
  volume="10",
  number="4",
  pages="12",
  issn="1210-2512"
}