Detail publikace

Aircraft equipment modeling using neural networks

SVOBODOVÁ, J. KOUDELKA, V. RAIDA, Z.

Originální název

Aircraft equipment modeling using neural networks

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální 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

Autoři

SVOBODOVÁ, J.; KOUDELKA, V.; RAIDA, Z.

Rok RIV

2011

Vydáno

12. 9. 2011

Nakladatel

COREP

Místo

Torino, Italy

ISBN

978-1-61284-977-5

Kniha

Proceedings of 2011 International Conference on Electromagnetics in Advanced Applications

Strany od

627

Strany do

630

Strany počet

4

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"
}