Detail výsledku

Aircraft equipment modeling using neural networks

SVOBODOVÁ, J.; KOUDELKA, V.; RAIDA, Z. Aircraft equipment modeling using neural networks. In Proceedings of 2011 International Conference on Electromagnetics in Advanced Applications. Torino, Italy: COREP, 2011. p. 627-630. ISBN: 978-1-61284-977-5.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Vágnerová Jitka, Ing., Ph.D., UREL (FEKT)
Koudelka Vlastimil, Ing., Ph.D., UREL (FEKT)
Raida Zbyněk, prof. Dr. Ing., UREL (FEKT)
Abstrakt

In this paper, the neural network
module for simulating the behavior of an
arbitrary system is described. The black-box
modeling tool is aimed to simulate unknown
systems characterized by measurements. The tool
is able to model systems that cannot be described
analytically due to their nonlinearity or
complexity.
Neural networks are suitable for solving real
EMC problems leading to extremely high
computation demands or to complicated
experimental measurements. There are two main
limitations: the sparsity of numerical results (due
to the computation complexity) and the noise
corrupting the measurement results. It is essential
to find an equivalent model approximating the
behavior of investigated system if the sparse or
noisy data are available.

Klíčová slova

nonlinear modeling, neural networks

Rok
2011
Strany
627–630
Sborník
Proceedings of 2011 International Conference on Electromagnetics in Advanced Applications
ISBN
978-1-61284-977-5
Vydavatel
COREP
Místo
Torino, Italy
BibTeX 
@inproceedings{BUT74514,
  author="Jitka {Vágnerová} and Vlastimil {Koudelka} and Zbyněk {Raida}",
  title="Aircraft equipment modeling using neural networks",
  booktitle="Proceedings of 2011 International Conference on Electromagnetics in Advanced Applications",
  year="2011",
  pages="627--630",
  publisher="COREP",
  address="Torino, Italy",
  isbn="978-1-61284-977-5"
}
Pracoviště
Centrum senzorických, informačních a komunikačních systémů (SIX)
Ústav radioelektroniky (UREL)
Nahoru