Detail výsledku
Modeling EM Structures in the Neural Network Toolbox of MATLAB
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.
Feed-forward neural networks, genetic algorithms, planar transmission lines, frequency selective surfaces, microstrip antennas, modeling, optimization methods
@article{BUT41102,
author="Zbyněk {Raida}",
title="Modeling EM Structures in the Neural Network Toolbox of MATLAB",
journal="IEEE ANTENNAS AND PROPAGATION MAGAZINE",
year="2003",
volume="44",
number="6",
pages="22",
issn="1045-9243"
}