Detail výsledku

Neural Networks in Antennas and Microwaves: A Practical Approach

RAIDA, Z. Neural Networks in Antennas and Microwaves: A Practical Approach. Radioengineering, 2001, vol. 10, no. 4, 12 p. ISSN: 1210-2512.
Typ
článek v časopise
Jazyk
angličtina
Autoři
Raida Zbyněk, prof. Dr. Ing.
Abstrakt

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.

Klíčová slova anglicky

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

Rok
2001
Strany
12
Časopis
Radioengineering, roč. 10, č. 4, ISSN 1210-2512
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"
}
Pracoviště
Ústav radioelektroniky (UREL)
Nahoru