Detail publikace

Modeling EM Structures in the Neural Network Toolbox of MATLAB

Originální název

Modeling EM Structures in the Neural Network Toolbox of MATLAB

Anglický název

Modeling EM Structures in the Neural Network Toolbox of MATLAB

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. Portions of matlab code illustrate descriptions.

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. Portions of matlab code illustrate descriptions.

BibTex


@article{BUT41102,
  author="Zbyněk {Raida}",
  title="Modeling EM Structures in the Neural Network Toolbox of MATLAB",
  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. Portions of matlab code illustrate descriptions.",
  chapter="41102",
  number="6",
  volume="44",
  year="2003",
  month="january",
  pages="46",
  type="journal article - other"
}