Publication 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

journal article - other

Language

en

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.

RIV year

2001

Released

01.12.2001

Pages from

24

Pages to

35

Pages count

12

BibTex


@article{BUT39632,
  author="Zbyněk {Raida}",
  title="Neural Networks in Antennas and Microwaves: A Practical Approach",
  annote="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.",
  chapter="39632",
  number="4",
  volume="10",
  year="2001",
  month="december",
  pages="24",
  type="journal article - other"
}