Detail publikace

Modeling EM Structures in the Neural Network Toolbox of MATLAB

RAIDA, Z.

Originální název

Modeling EM Structures in the Neural Network Toolbox of MATLAB

Typ

článek v časopise - ostatní, Jost

Jazyk

angličtina

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. Portions of matlab code illustrate descriptions.

Klíčová slova

Feed-forward neural networks, genetic algorithms, planar transmission lines, frequency selective surfaces, microstrip antennas, modeling, optimization methods

Autoři

RAIDA, Z.

Vydáno

1. 1. 2003

ISSN

1045-9243

Periodikum

IEEE Antennas & Propagation Magazine

Ročník

44

Číslo

6

Stát

Spojené státy americké

Strany od

46

Strany do

67

Strany počet

22

BibTex

@article{BUT41102,
  author="Zbyněk {Raida}",
  title="Modeling EM Structures in the Neural Network Toolbox of MATLAB",
  journal="IEEE Antennas & Propagation Magazine",
  year="2003",
  volume="44",
  number="6",
  pages="22",
  issn="1045-9243"
}