Detail publikace

Neural Networks in Antennas and Microwaves: A Practical Approach

Originální název

Neural Networks in Antennas and Microwaves: A Practical Approach

Anglický název

Neural Networks in Antennas and Microwaves: A Practical Approach

Jazyk

en

Originální 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.

Anglický 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.

Dokumenty

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"
}